Researcher basic information

• PhD (Engineering), Hokkaido University, Mar. 2004

• https://researchmap.jp/rafal_rzepka?lang=en

• https://orcid.org/0000-0002-8274-0875
• https://jglobal.jst.go.jp/detail?JGLOBAL_ID=200901069857545387
• http://kabura.info

• https://orcid.org/0000-0002-8274-0875

• 200901069857545387

• Moral Machines
• Artificial Intelligence
• Artificial General Intelligence
• Natural Language Processing
• Common Sense Knowledge
• Affective Computing
• Machine Ethics
• machine intelligence

• Informatics, Intelligent informatics, Knowledge Acquisition
• Informatics, Kansei informatics, sentiment analysis
• Humanities & Social Sciences, Philosophy and ethics, 応用倫理学
• Humanities & Social Sciences, Cognitive science, 心の理論
• Informatics, Robotics and intelligent system
• Informatics, Learning support system, 第二言語習得支援

• Bachelor's degree program, School of Engineering
• Master's degree program, Graduate School of Information Science and Technology
• Doctoral (PhD) degree program, Graduate School of Information Science and Technology

Research activity information

• Mar. 2025, 言語処理学会, 委員特別賞
  JETHICS: 日本語道徳理解度評価用データセット
  竹下昌志;ジェプカ ラファウ
• 2024, YANS, スポンサー賞 (株式会社オルツ）
  LLMはなぜ算数が苦手なのか？ Transformerの外挿能力に関する分析
  進藤 稜真;竹下 昌志;ジェプカ ラファウ;伊藤 敏彦
• 2024, YANS, スポンサー賞 (ストックマーク株式会社）
  LLMはなぜ算数が苦手なのか？ Transformerの外挿能力に関する分析
  進藤 稜真;竹下 昌志;ジェプカ ラファウ;伊藤 敏彦
• 2024, YANS, 奨励賞
  LLMはなぜ算数が苦手なのか？ Transformerの外挿能力に関する分析
  進藤 稜真, 竹下 昌志, ジェプカ ラファウ, 伊藤 敏彦
• Apr. 2023, LTC 2023 Conference, Best Paper Award
  Sentiment Analysis of Polish Online News Covering Controversial Topics - Comparison Between Lexicon and Statistical Approaches
  Joanna Szwoch;Mateusz Staszkow;Rafal Rzepka;Kenji Araki
• Dec. 2021, ことば工学研究会, 優秀賞
  論文の構造とタイトルを独立して考慮した医学論文検索モデルの提案
  吉井 瑞貴、竹下 昌宏、ジェプカ・ラファウ、荒木 健治
• Nov. 2021, 電気・情報関係学会北海道支部, 若手優秀論文発表賞
  BM25Tを用いたオンライン上の医療ニュース記事の根拠論文候補抽出
  吉井 瑞貴, 竹下 昌志, ジェプカ ラファウ, 荒木 健治
• 2020, WI2, Budding Research Award
  Mapping arguments to key point: Match Scoring of arguments using sentence embedding and MoverScore without labelled data
  Daiki Shirafuji;Rafal Rzepka;Kenji Araki
• 2020, WI2, Budding Research Award
  Unsupervised summarization of arguments toward key point generation with Sentence-BERT-based method
  Daiki Shirafuji, Rafal Rzepka, Kenji Araki
• 2019, BICA, Outstanding Research Award
  "Emotional and Moral Impressions Associated with Buddhist Religious Terms in Japanese Blogs - Preliminary Analysis"
  Jagna Nieuważny;Fumito Masui;Michal Ptaszynski;Kenji Araki;Rafal Rzepka;Karol Nowakowski
• 2019, BICA, Best Innovative Work Award
  "Emotional and Moral Impressions Associated with Buddhist Religious Terms in Japanese Blogs - Preliminary Analysis"
  Jagna Nieuważny, Fumito Masui, Michal Ptaszynski, Kenji Araki, Rafal Rzepka, Karol Nowakowski
• 2015, "Emotions, Decisions, Opinions" EDO 2015, Best Paper Award
  Exploiting Wikipedia-based Information-rich Taxonomy for Extracting Location and Creator Related Information for ConceptNet Expansion
• 2011, Pacific Association For Computational Linguistics, Best Paper Award
  Introducing Grammatically Aware Regular Expressions
• 2010, Japan Society for Fuzzy Theory and Intelligent Informatics, Encouragement Award
  Teaching a Humanoid Robot through Physical Feedback: So Easy Even a Five Year Old Could Use It
• 2008, Second International Conference on Kansei Engineering & Affective Systems, Best Paper Award
  Disentangling emotions from the Web. Internet in the service of affect analysis
• Oct. 2002, IEEE Hokkaido Chapter, Best Paper Award
  Prediction of the User’s Reply Using Emotional Information Retrieved from Internet Resources
  Japan
• 1996, Japanese Ministry of Education Scolarship
  1996, 1999

• Cross-Cultural Safety Judgments in Child Environments: A Semantic Comparison of Vision-Language Models and Humans
  Don Divin Anemeta; Rafal Rzepka
  Algorithms, 13 Aug. 2025
  Scientific journal
• Vocabulary variation and lemma probabilities in speech analysis for diagnosing dementia and depression
  Mariusz Ziółko; Karol Kamiński; Napoleon Waszkiewicz; Wojciech Datka; Karolina Kozłowska; Michał Kucharski; Rafal Rzepka; Bartosz Ziółko
  Computers in Biology and Medicine, 194, 110409, 110409, Aug. 2025
  Scientific journal
• Speciesism in natural language processing research
  Masashi Takeshita; Rafal Rzepka
  AI and Ethics, 5, 3, 2961, 2976, Jun. 2025
  Scientific journal, Natural Language Processing (NLP) research on AI Safety and social bias in AI
  has focused on safety for humans and social bias against human minorities.
  However, some AI ethicists have argued that the moral significance of nonhuman
  animals has been ignored in AI research. Therefore, the purpose of this study
  is to investigate whether there is speciesism, i.e., discrimination against
  nonhuman animals, in NLP research. First, we explain why nonhuman animals are
  relevant in NLP research. Next, we survey the findings of existing research on
  speciesism in NLP researchers, data, and models and further investigate this
  problem in this study. The findings of this study suggest that speciesism
  exists within researchers, data, and models, respectively. Specifically, our
  survey and experiments show that (a) among NLP researchers, even those who
  study social bias in AI, do not recognize speciesism or speciesist bias; (b)
  among NLP data, speciesist bias is inherent in the data annotated in the
  datasets used to evaluate NLP models; (c) OpenAI GPTs, recent NLP models,
  exhibit speciesist bias by default. Finally, we discuss how we can reduce
  speciesism in NLP research.
• Fame Bias – Large Language Models Change Their Judgement Depending on Personal Name
  Huizhong Ji; Rafal Rzepka
  PRICAI (3), 15, 20, 2025
  International conference proceedings
• Application of Artificial Intelligence Methods in Processing of Emotions, Decisions, and Opinions
  Michal Ptaszynski; Pawel Dybala; Rafal Rzepka
  Applied Sciences, 06 Jul. 2024
  Scientific journal
• The Limits of Words: Expanding a Word-Based Emotion Analysis System with Multiple Emotion Dictionaries and the Automatic Extraction of Emotive Expressions
  Lu Wang; Sho Isomura; Michal Ptaszynski; Pawel Dybala; Yuki Urabe; Rafal Rzepka; Fumito Masui
  Applied Sciences, 23 May 2024
  Scientific journal
• Limitations of Large Language Models in Propaganda Detection Task
  Joanna Szwoch; Mateusz Staszkow; Rafal Rzepka; Kenji Araki
  Applied Sciences, 20 May 2024
  Scientific journal
• Speciesism in Natural Language Processing Research.
  Masashi Takeshita; Rafal Rzepka
  CoRR, abs/2410.14194, 2024
  Scientific journal
• Proceedings of the 9th Linguistic and Cognitive Approaches To Dialog Agents Workshop - LaCATODA 2024 co-located with the Pacific Rim International Conference on Artificial Intelligence (PRICAI 2024), Kyoto, Japan, November 19, 2024.
  LaCATODA@PRICAI, 3862, CEUR-WS.org, 2024
  International conference proceedings
• Evaluation of active generation of interlocutor profiling sentences from utterances and their implicit context.
  Shinji Muraji; Rafal Rzepka; Toshihiko Itoh
  LaCATODA@PRICAI, 45, 55, 2024
  International conference proceedings
• Effectiveness of Security Export Control Ontology for Predicting Answer Type and Regulation Categories.
  Rafal Rzepka; Akihiko Obayashi
  ICAAI, 156, 161, 2024
  International conference proceedings
• DG Embeddings: The unsupervised definition embeddings learned from dictionary and glossary to gloss context words of Cloze task.
  Xiaodong Liu; Rafal Rzepka; Kenji Araki
  Knowledge-Based Systems, 296, 111883, 111883, 2024
  Scientific journal
• Semantic Primes-Inspired Tacit Knowledge Dataset for Simulating Basic Perception Capabilities of Cognitive Architectures
  Rafal Rzepka; Ryoma Shinto; Kenji Araki
  Artificial General Intelligence - 17th International Conference(AGI), 145, 154, Springer, 2024
  International conference proceedings
• The Future of Research on ʻNo-Crash Commonsenseʼ for AI -- From Semantic Primitives to Massive Real World Simulations --
  Rafal Rzepka
  人工知能, 38, 6, 943, 953, JSAI, Dec. 2023, [Invited], [Lead author]
  Japanese, Scientific journal
• Personality Types and Traits—Examining and Leveraging the Relationship between Different Personality Models for Mutual Prediction
  Dušan Radisavljević; Rafal Rzepka; Kenji Araki
  Applied Sciences, 13, 7, 4506, 4506, MDPI AG, 02 Apr. 2023
  Scientific journal, The popularity of social media services has led to an increase of personality-relevant data in online spaces. While the majority of people who use these services tend to express their personality through measures offered by the Myers–Briggs Type Indicator (MBTI), another personality model known as the Big Five has been a dominant paradigm in academic works that deal with personality research. In this paper, we seek to bridge the gap between the MBTI, Big Five and another personality model known as the Enneagram of Personality, with the goal of increasing the amount of resources for the Big Five model. We further explore the relationship that was previously reported between the MBTI types and certain Big Five traits as well as test for the presence of a similar relationship between Enneagram and Big Five measures. We propose a new method relying on psycholingusitc features selected based on their relationship with the MBTI model. This approach showed the best performance through our experiments and led to an increase of up to 3% in automatic personality recognition for Big Five traits on the per-trait level. Our detailed experimentation offers further insight into the nature of personality and into how well it translates between different personality models.
• Utilizing BERT with Auxiliary Sentences Generation to Improve Accuracy of Japanese Aspect-based Sentiment Analysis Task
  Yiyang Zhang; Masashi Takeshita; Rafal Rzepka; Kenji Araki
  In the proceedings of the Language Technology Conference (LTC’23), 348, 352, Apr. 2023, [Peer-reviewed]
  English, International conference proceedings
• Sentiment Analysis of Polish Online News Covering Controversial Topics – Comparison Between Lexicon and Statistical Approaches
  Joanna Szwoch; Mateusz Staszkow; Rafal Rzepka; Kenji Araki
  In the proceedings of the Language Technology Conference (LTC’23), 277, 281, Apr. 2023, [Peer-reviewed]
  English, International conference proceedings
• Improving Performance of Affect Analysis System by Expanding Affect Lexicon
  Lu Wang; Michal Ptaszynski; Pawel Dybala; Yuki Urabe; Rafal Rzepka; Fumito Masui
  In the proceedings of the Language Technology Conference (LTC’23), 314, 319, Apr. 2023, [Peer-reviewed]
  English, International conference proceedings
• Utilizing Wikipedia for Retrieving Synonyms of Trade Security-related Technical Terms
  Rafal Rzepka; Shinji Muraji; Akihiko Obayashi
  In the proceedings of the Language Technology Conference (LTC’23), 250, 254, Apr. 2023, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Towards Theory-based Moral AI: Moral AI with Aggregating Models Based on Normative Ethical Theory.
  Masashi Takeshita; Rafal Rzepka; Kenji Araki
  CoRR, abs/2306.11432, 2023
  Scientific journal
• Parameter-efficient feature-based transfer for paraphrase identification
  Xiaodong Liu; Rafal Rzepka; Kenji Araki
  Natural Language Engineering, 29, 4, 1, 31, Cambridge University Press (CUP), 19 Dec. 2022
  English, Scientific journal, Abstract
  
  There are many types of approaches for Paraphrase Identification (PI), an NLP task of determining whether a sentence pair has equivalent semantics. Traditional approaches mainly consist of unsupervised learning and feature engineering, which are computationally inexpensive. However, their task performance is moderate nowadays. To seek a method that can preserve the low computational costs of traditional approaches but yield better task performance, we take an investigation into neural network-based transfer learning approaches. We discover that by improving the usage of parameters efficiently for feature-based transfer, our research goal can be accomplished. Regarding the improvement, we propose a pre-trained task-specific architecture. The fixed parameters of the pre-trained architecture can be shared by multiple classifiers with small additional parameters. As a result, the computational cost left involving parameter update is only generated from classifier-tuning: the features output from the architecture combined with lexical overlap features are fed into a single classifier for tuning. Furthermore, the pre-trained task-specific architecture can be applied to natural language inference and semantic textual similarity tasks as well. Such technical novelty leads to slight consumption of computational and memory resources for each task and is also conducive to power-efficient continual learning. The experimental results show that our proposed method is competitive with adapter-BERT (a parameter-efficient fine-tuning approach) over some tasks while consuming only 16% trainable parameters and saving 69-96% time for parameter update.
• Using Convolutional Neural Network for improving inference of interrogative sentences in a dialogue system
  Kei Kawai; Rafal Rzepka; Tatsuki Nemoto
  IEEE Proceedings of ACII 2022 Workshops, The Eighth Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2022), 1, 4, IEEE, Oct. 2022, [Peer-reviewed]
  English, International conference proceedings
• Speciesist Language and Nonhuman Animal Bias in English Masked Language Models
  Rafal Rzepka
  ArXiv, 59, 5, 103050, 103050, Sep. 2022, [Peer-reviewed]
  Scientific journal, Various existing studies have analyzed what social biases are inherited by
  NLP models. These biases may directly or indirectly harm people, therefore
  previous studies have focused only on human attributes. However, until recently
  no research on social biases in NLP regarding nonhumans existed. In this paper,
  we analyze biases to nonhuman animals, i.e. speciesist bias, inherent in
  English Masked Language Models such as BERT. We analyzed speciesist bias
  against 46 animal names using template-based and corpus-extracted sentences
  containing speciesist (or non-speciesist) language. We found that pre-trained
  masked language models tend to associate harmful words with nonhuman animals
  and have a bias toward using speciesist language for some nonhuman animal
  names. Our code for reproducing the experiments will be made available on
  GitHub.
• Expanding Export Control-related Data for Expert System
  Akihiko Obayashi; Rafal Rzepka
  Proceedings of 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, 3065, 3072, Elsevier, Sep. 2022, [Peer-reviewed], [Last author]
  English, International conference proceedings
• Creation of Polish Online News Corpus for Political Polarization Studies
  Joanna Szwoch; Mateusz Staszkow; Rafal Rzepka; Kenji Araki
  Proceedings of The First LREC 2022 workshop on Natural Language Processing for Political Sciences, 86, 90, European Language Resources Association, Jun. 2022, [Peer-reviewed]
  English, International conference proceedings
• Pitfalls of Current AI Helping To Analyze Japanese Tweets
  Rafal Rzepka
  Book of abstracts of the Practicing Japan – 35 years of Japanese Studies in Poznań and Kraków conference, Mar. 2022, [Lead author]
  English, International conference proceedings
• Comparison of Zero-Shot Ethical Classification With and Without Automatically Generated Consequences
  Rafał Rzepka; Kenji Araki
  Proceedings of the AAAI Spring Symposium on Approaches to Ethical Computing Metrics for Measuring AI’s Proficiency and Competency for Ethical Reasoning, Mar. 2022, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• MIss RoBERTa WiLDe: Metaphor Identification Using Masked Language Model with Wiktionary Lexical Definitions
  Mateusz Babieno; Masashi Takeshita; Dušan Radisavljević; Rafal Rzepka; Kenji Araki
  Applied Sciences, 12, 4, 2081, 2081, {MDPI} {AG}, 17 Feb. 2022, [Peer-reviewed]
  Scientific journal
• Speciesist Language and Nonhuman Animal Bias in English Masked Language Models.
  Masashi Takeshita; Rafal Rzepka; Kenji Araki
  CoRR, abs/2203.05140, 2022
  Scientific journal
• Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence, JSAI 2021, Virtual Event, Japan, 8-11 June 2021
  JSAI, 1423, Springer, 2022
  International conference proceedings
• Advances in Artificial Intelligence
  Rafal Rzepka
  Advances in Intelligent Systems and Computing, 2022
  Scientific journal
• In the Service of Online Order: Tackling Cyber-Bullying with Machine Learning and Affect Analysis.
  Michal Ptaszynski; Pawel Dybala; Tatsuaki Matsuba; Fumito Masui; Rafal Rzepka; Kenji Araki; Yoshio Momouchi
  CoRR, abs/2203.02116, 2022
  English, Scientific journal, One of the burning problems lately in Japan has been cyber-bullying, or
  slandering and bullying people online. The problem has been especially noticed
  on unofficial Web sites of Japanese schools. Volunteers consisting of school
  personnel and PTA (Parent-Teacher Association) members have started Online
  Patrol to spot malicious contents within Web forums and blogs. In practise,
  Online Patrol assumes reading through the whole Web contents, which is a task
  difficult to perform manually. With this paper we introduce a research intended
  to help PTA members perform Online Patrol more efficiently. We aim to develop a
  set of tools that can automatically detect malicious entries and report them to
  PTA members. First, we collected cyber-bullying data from unofficial school Web
  sites. Then we performed analysis of this data in two ways. Firstly, we
  analysed the entries with a multifaceted affect analysis system in order to
  find distinctive features for cyber-bullying and apply them to a machine
  learning classifier. Secondly, we applied a SVM based machine learning method
  to train a classifier for detection of cyber-bullying. The system was able to
  classify cyber-bullying entries with 88.2% of balanced F-score.
• Text-Based Speaker Identification for Video Game Dialogues
  Radisavljevi?, D.; Batalo, B.; Rzepka, R.; Araki, K.
  Lecture Notes in Networks and Systems, 296, 44, 54, Lecture Notes in Networks and Systems, 2022, [Peer-reviewed]
  Scientific journal
• Tell Me What You Read: Automatic Expertise-Based Annotator Assignment for Text Annotation in Expert Domains
  Hiyori Yoshikawa; Tomoya Iwakura; Kimi Kaneko; Hiroaki Yoshida; Yasutaka Kumano; Kazutaka Shimada; Rafal Rzepka; Patrycja Swieczkowska
  the Proceedings fo Recent Advances in Natural Language Processing (RANLP 2021), 1575, 1585, INCOMA Ltd., Sep. 2021, [Peer-reviewed]
  International conference proceedings
• Annotated Question and Answer Dataset for Security Export Control
  Akihiko Obayashi; Rafal Rzepka
  Proceedings of The 7th Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2021) IJCAI 2021 Workshop, CEUR Workshop Proceedings vol. 2935, Aug. 2021, [Peer-reviewed], [Last author]
  International conference proceedings
• Current Language Models Might Not Be Suitable For Reverse Engineering Moral Wisdom of Crowds
  Rafal Rzepka; Yuki Katsumata; Kenji Araki
  Engineering and Reverse-Engineering Morality Workshop at CogSci 2021, Jul. 2021, [Lead author]
  International conference proceedings
• Argument Extraction for Key Point Generation Using MMR-Based Methods
  Daiki Shirafuji; Rafal Rzepka; Kenji Araki
  IEEE Access, 9, 103091, 103109, Institute of Electrical and Electronics Engineers ({IEEE}), May 2021, [Peer-reviewed]
  English, Scientific journal
• Does change in ethical education influence core moral values? Towards history- and culture-aware morality model with application in automatic moral reasoning
  Jagna Nieuważny; Karol Nowakowski; Michal Ptaszyński; Fumito Masui; Rafal Rzepka; Kenji Araki
  Cognitive Systems Research, 66, 89, 99, Elsevier BV, Mar. 2021, [Peer-reviewed]
  Scientific journal
• Limits and Challenges of Embedding-based Question Answering in Export Control Expert System
  Rafal Rzepka
  Procedia Computer Science, 192, 2709, 2719, 2021, [Peer-reviewed], [Lead author]
  Scientific journal
• Find right countenance for your input-Improving automatic emoticon recommendation system with distributed representations
  Rafal Rzepka
  Information Processing & Management, 58, 1, 102414, 102414, Jan. 2021, [Peer-reviewed]
  English, Scientific journal
• Summarizing Utterances from Japanese Assembly Minutes using Political Sentence-BERT-based Method for QA Lab-PoliInfo-2 Task of NTCIR-15
  Rafal Rzepka
  ArXiv, abs/2010.12077, Dec. 2020, [Peer-reviewed]
  International conference proceedings, There are many discussions held during political meetings, and a large number
  of utterances for various topics is included in their transcripts. We need to
  read all of them if we want to follow speakers\' intentions or opinions about a
  given topic. To avoid such a costly and time-consuming process to grasp often
  longish discussions, NLP researchers work on generating concise summaries of
  utterances. Summarization subtask in QA Lab-PoliInfo-2 task of the NTCIR-15
  addresses this problem for Japanese utterances in assembly minutes, and our
  team (SKRA) participated in this subtask. As a first step for summarizing
  utterances, we created a new pre-trained sentence embedding model, i.e. the
  Japanese Political Sentence-BERT. With this model, we summarize utterances
  without labelled data. This paper describes our approach to solving the task
  and discusses its results.
• Can Existing Methods Debias Languages Other than English? First Attempt to Analyze and Mitigate Japanese Word Embeddings
  Masashi Takeshita; Yuki Katsumata; Rafal Rzepka; Kenji Araki
  Proceedings of COLING 2020 Workshop on Gender Bias in Natural Language Processing, Dec. 2020, [Peer-reviewed]
  International conference proceedings
• HEMOS: A novel deep learning-based fine-grained humor detecting method for sentiment analysis of social media
  Da Li; Rafal Rzepka; Michal Ptaszynski; Kenji Araki
  Information Processing & Management, 57, 6, 102290, 102290, Elsevier BV, Nov. 2020, [Peer-reviewed]
  Scientific journal
• Topic modelling applied to a second language: A language adaptation and tool evaluation study
  Maria Skeppstedt; Magnus Ahltorp; Kostiantyn Kucher; Andreas Kerren; Rafal Rzepka; Kenji Araki
  Selected Papers from the CLARIN Annual Conference 2019, 145, 156, Linköping University Electronic Press, 03 Jul. 2020, [Peer-reviewed]
  Scientific journal
• Stepwise Noise Elimination for Better Motivational and Advisory Texts Classification
  Rafal Rzepka
  Journal of Advanced Computational Intelligence and Intelligent Informatics, 24, 1, 156, 168, 20 Jan. 2020, [Peer-reviewed]
  Scientific journal
• Summarizing Utterances from Japanese Assembly Minutes using Political Sentence-BERT-based Method for QA Lab-PoliInfo-2 Task of NTCIR-15.
  Daiki Shirafuji; Hiromichi Kameya; Rafal Rzepka; Kenji Araki
  CoRR, abs/2010.12077, 2020
  Scientific journal
• Evaluating Classification Algorithms for Recognizing Figurative Expressions in Japanese Literary Texts
  Rafal Rzepka
  Communications in Computer and Information Science, 181, 188, Springer, 2020
  Scientific journal
• Evaluating Classification Algorithms for Recognizing Figurative Expressions in Japanese Literary Texts
  Babieno, M.; Rzepka, R.; Araki, K.
  Communications in Computer and Information Science, 1215 CCIS, Communications in Computer and Information Science, 2020
  Scientific journal
• Comparing conceptual metaphor theory-related features using classification algorithms in searching for expressions used figuratively within Japanese texts
  Babieno, M.; Rzepka, R.; Araki, K.; Dybala, P.
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12158 LNAI, 195, 212, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020
  Scientific journal
• Evaluating Classification Algorithms for Recognizing Figurative Expressions in Japanese Literary Texts
  Mateusz Babieno; Rafal Rzepka; Kenji Araki
  Proceedings of the 16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019, 2020, [Peer-reviewed]
  International conference proceedings
• How religion and morality correlate in age of society 5.0: Statistical analysis of emotional and moral associations with Buddhist religious terms appearing on Japanese blogs
  Jagna Nieuważny; Fumito Masui; Michal Ptaszynski; Rafal Rzepka; Karol Nowakowski
  Cognitive Systems Research, 59, 329, 344, Elsevier BV, Jan. 2020, [Peer-reviewed]
  Scientific journal
• Analysis of Human Thoughts in the Big Data Era: A Case Study of Showerthought Sub-Reddit
  Siaw-Fong Chung; Rafal Rzepka
  Proceedings of 10th Conference on Digital Archives and Digital Humanities, Dec. 2019, [Peer-reviewed], [Last author]
  International conference proceedings
• Creating Reverse Dictionary of English Idiomatic Expressions by Mapping Word Embeddings to Singular Vectors
  Xiaodong Liu; Rafal Rzepka; Kenji Araki
  Technical Report of JSAI Special Interest Group for Interactive Information Access and Visualization, Nov. 2019
  Symposium
• Visualising and evaluating the effects of combining active learning with word embedding features
  Maria Skeppstedt; Rafal Rzepka; Kenji Araki; Andreas Kerren
  Proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019), Oct. 2019, [Peer-reviewed]
  International conference proceedings
• Application of a Topic Model Visualisation Tool to a Second Language
  Maria Skeppstedt; Magnus Ahltorp; Andreas Kerren; Rafal Rzepka; Kenji Araki
  Book of Abstracts of the CLARIN Annual Conference 2019, Oct. 2019, [Peer-reviewed]
  International conference proceedings
• Towards Interactive Advisory System for Security Export Control
  Akihiko Obayashi; Rafal Rzepka
  Proceedings of the IJCAI Workshop on Language Sense on Computer, Aug. 2019, [Peer-reviewed], [Last author]
  International conference proceedings
• Comparing Conceptual Metaphor Theory-Related Features in Searching for Figurative Expressions in Japanese Literary Texts
  Mateusz Babieno; Rafal Rzepka; Kenji Araki
  IJCAI Workshop on Language Sense on Computer, Aug. 2019, [Peer-reviewed]
  International conference proceedings
• A Convolutional Neural Network For Ranking Advice Quality In Texts For A Motivational Dialogue System
  Patrycja Swieczkowska; Rafal Rzepka; Kenji Araki
  Proceedings of the IJCAI Workshop on Linguistic and Cognitive Approaches To Dialog Agents Workshop, 35, 44, CEUR-WS.org, Aug. 2019, [Peer-reviewed]
  International conference proceedings
• Debate Outcome Prediction using Automatic Persuasiveness Evaluation and Counterargument Relations
  Daiki Shirafuji; Rafal Rzepka; Kenji Araki
  IJCAI Workshop on Linguistic and Cognitive Approaches To Dialog Agents Workshop, 24, 29, CEUR-WS.org, Aug. 2019, [Peer-reviewed]
  International conference proceedings
• Emoji-Aware Attention-based Bi-directional GRU Network Model for Chinese Sentiment Analysis
  Da Li; Rafal Rzepka; Michal Ptaszynski; Kenji Araki
  IJCAI Workshop on Linguistic and Cognitive Approaches To Dialog Agents Workshop, 11, 18, CEUR-WS.org, Aug. 2019, [Peer-reviewed]
  International conference proceedings
• Implicit Knowledge Completion Using Relevance Calculation of Distributed Word Representations
  Sho Takishita; Rafal Rzepka; Kenji Araki
  Proceedings of the IJCAI Workshop on Bridging The Gap Between Human and Automated Reasoning, 60, 64, CEUR-WS.org, Aug. 2019, [Peer-reviewed]
  International conference proceedings
• Emotional and Moral Impressions Associated with Buddhist Religious Terms in Japanese Blogs - Preliminary Analysis
  Jagna Nieuwazny; Michal Ptaszynski; Karol Nowakowski; Fumito Masui; Rafał Rzepka; Kenji Araki
  Proceedings of BICA 2019, 387, 392, Springer, Aug. 2019
  International conference proceedings
• Convolutional Neural Network for Chinese Sentiment Analysis Considering Chinese Slang Lexicon and Emoticons
  LI Da; RZEPKA Rafal; PTASZYNSKI Michal; ARAKI Kenji
  Proceedings of the Annual Conference of JSAI, 2E4-OS-9-04, 2E4OS904, 2E4OS904, The Japanese Society for Artificial Intelligence, Jun. 2019
  Japanese, Symposium, Nowadays, social media have become the essential part of our lives. Internet slang is an informal language used in everyday online communication which quickly becomes adopted or discarded by new generations. Similarly, pictograms (emoticons/emojis) have been widely used in social media as a mean for graphical expression of emotions. People can convey delicate nuances through textual information when supported with emoticons, and the effectiveness of computer-mediated communication is also improved. Therefore, it is important to fully understand the influence of Internet slang and emoticons on social media. In this paper, we propose a convolutional neural network model considering Internet slang and emoticons for sentiment analysis of Weibo which is the most popular Chinese social media platform. Our experimental results show that the proposed method can significantly improve the performance for predicting sentiment polarity.
• STARS at the NTCIR-14 QA Lab-PoliInfo Classification Task
  Daiki Shirafuji; Sho Takishita; Patrycja Swieczkowska; Rafal Rzepka; Kenji Araki
  Proceedings of the 14th NTCIR Conference on Evaluation of Information Access Technology, Jun. 2019, [Peer-reviewed]
  International conference proceedings
• Analyzing Motivating Texts for Modelling Human-Like Motivation Techniques in Emotionally Intelligent Dialogue Systems
  Rafal Rzepka
  FOURTH IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, ROBOT, VOL 2, 848, 763, 768, 2019, [Peer-reviewed]
  English, Scientific journal
• Joint Proceedings of the Workshops on Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2019) and on Bridging the Gap Between Human and Automated Reasoning (BtG 2019) co-located with 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, August 12, 2019.
  LaCATODA/BtG@IJCAI, 2452, CEUR-WS.org, 2019
  International conference proceedings
• A Novel Machine Learning-based Sentiment Analysis Method for Chinese Social Media Considering Chinese Slang Lexicon and Emoticons.
  Da Li; Rafal Rzepka; Michal Ptaszynski; Kenji Araki
  Proceedings of the 2nd Workshop on Affective Content Analysis (AffCon 2019) co-located with Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019)(AffCon@AAAI), 88, 103, CEUR-WS.org, 2019
  International conference proceedings
• "Brute-Force Sentence Pattern Extortion from Harmful Messages for Cyberbullying Detection"
  Michal Ptaszynski; Pawel Lempa; Fumito Masui; Yasutomo Kimura; Rafal Rzepka; Kenji Araki; Michal Wroczynski; Gniewosz Leliwa
  Journal of the Association for Information Systems, 20, 8, 1075, 1127, Association for Information Systems, 2019, [Peer-reviewed]
  Scientific journal
• Machine Learning Approach Considering Chinese Slang Lexicon and Emoticons for Chinese Social Media Sentiment Analysis
  Da Li; Rafal Rzepka; Michal Ptaszynski; Kenji Araki
  AAAI-19 Workshop on Affective Content Analysis (AffCon 2019), Jan. 2019, [Peer-reviewed]
  English, International conference proceedings
• Language Sense and Communication on Computer.
  Akinori Abe; Rafal Rzepka; Michal Ptaszynski
  Adv. Hum. Comput. Interact., 2019, 3081602, 2, 2019, [Invited]
  English, Scientific journal
• Automatic Extraction of Harmful Sentence Patterns with Application in Cyberbullying Detection
  Michal Ptaszynski; Fumito Masui; Yasutomo Kimura; Rafal Rzepka; Kenji Araki
  Human Language Technology. Challenges for Computer Science and Linguistics, 349, 363, Nov. 2018, [Peer-reviewed], [Invited]
  English, Scientific journal
• Preliminary Statistical Analysis of Emotional and Moral Impressions Associated with Buddhist Religious Terms
  Jagna Nieuwazny; Fumito Masui; Michal Ptaszynski; Rafal Rzepka; Karol Nowakowski
  Proceedings of International Workshop on Modern Science and Technology (IWMST 2018), Oct. 2018, [Peer-reviewed]
  English, International conference proceedings
• Emoticon-Aware Recurrent Neural Network Model for Chinese Sentiment Analysis
  Da Li; Rafal Rzepka; Michal Ptaszynski; Kenji Araki
  Proceedings of The Ninth IEEE International Conference on Awareness Science and Technology (iCAST 2018), 161, 166, IEEE, Sep. 2018, [Peer-reviewed]
  English, International conference proceedings
• Analyzing motivating texts for modeling human-like motivation techniques in emotionally intelligent dialogue systems
  Patrycja Swieczkowska; Rafal Rzepka; Kenji Araki
  Proceedings of the Ninth Annual Meeting of the BICA Society (BICA2018), 355, 360, Aug. 2018, [Peer-reviewed]
  English, International conference proceedings
• Conversational Control Interface to Facilitate Situational Understanding in a City Surveillance Setting
  Daniel Harborne; Dave Braines; Alun Preece; Rafal Rzepka
  Proceedings of Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2018) IJCAI-ECAI 2018 Workshop, 59, 66, CEUR-WS.org, Jul. 2018, [Peer-reviewed], [Last author]
  English, International conference proceedings
• From Words to Emoticons: Deep Emotion Recognition in Text and Its Wider Implications
  Rafal Rzepka; Mitsuru Takizawa; Jordi Vallverdu; Michal Ptaszynski; Pawel Dybala; Kenji Araki
  International Journal of Computational Linguistics Research, 9, 1, 10, 26, Mar. 2018, [Peer-reviewed], [Lead author]
  English, Scientific journal, This paper summarizes several lexical methods for more comprehensive affect recognition in text using an example of typed utterances. We introduce a set of algorithms that are capable of recognizing emotions of user’s statements in order to achieve more effective and smoother human-machine conversation. Aspects often neglected by existing systems working with Japanese language, e.g. compound sentences, double negation sentences, modifiers as adverbs and emoticons were combined and their higher effectiveness in recognizing affect in more complicated sentences was confirmed through evaluation experiments. The results are introduced together with separate analysis of emoticons’ influence on emotional load. We also discuss importance of predicting human emotions not only in the field of human-computer interaction but also its meaning for developing ethical chatbots.
• Importance of Contextual Knowledge in Artificial Moral Agents Development
  Rafal Rzepka; Kenji Araki
  AAAI 2018 Spring Symposium on AI and Society: Ethics, Safety and Trustworthiness in Intelligent Agents, 61, 68, AAAI Press, Mar. 2018, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Teaching Words in Context: Code-Switching Method for English and Japanese Vocabulary Acquisition Systems
  Michal Mazur; Rafal Rzepka; Kenji Araki
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10930, 332, 345, Springer Verlag, 2018, [Peer-reviewed], [Invited]
  English, International conference proceedings
• Exploiting wikipedia-based information-rich taxonomy for extracting location, creator and membership related information for conceptnet expansion
  Marek Krawczyk; Rafal Rzepka; Kenji Araki
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10930, 262, 274, Springer Verlag, 2018, [Peer-reviewed], [Invited]
  English, International conference proceedings
• Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), part of the Federated AI Meeting (FAIM 2018), Stockholm, Sweden, July 13, 2018.
  LaCATODA@IJCAI, 2202, CEUR-WS.org, 2018
  International conference proceedings
• Artificial General Intelligence - 11th International Conference, AGI 2018, Prague, Czech Republic, August 22-25, 2018, Proceedings
  AGI, 10999, Springer, 2018
  International conference proceedings
• Quantitative approach to multifractality induced by correlations and broad distribution of data
  Rafal Rzepka
  ArXiv, 2018
  Scientific journal
• The temporal singularity: time-accelerated simulated civilizations and their implications
  Rafal Rzepka
  Artificial General Intelligence. International Conference, AGI. Proceedings: Lecture Notes in Artificial Intelligence (LNAI 10999), 2018
  Scientific journal
• Preface
  Ikl{\'e}, M.; Franz, A.; Rzepka, R.; Goertzel, B.
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10999 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018
  Scientific journal
• A method for detecting harmful entries on informal school websites using morphosemantic patterns
  Michal Ptaszynski; Fumito Masui; Yoko Nakajima; Yasutomo Kimura; Rafal Rzepka; Kenji Araki
  Journal of Advanced Computational Intelligence and Intelligent Informatics, 21, 7, 1189, 1201, Fuji Technology Press, 01 Nov. 2017, [Peer-reviewed]
  English, Scientific journal
• Be More Eloquent, Professor ELIZA – Comparison of Utterance Generation Methods for Artificial Second Language Tutor
  Taku Nakamura; Rafal Rzepka; Kenji Araki; Kentaro Inui
  Proceedings of Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2017), Aug. 2017, [Peer-reviewed]
  English, International conference proceedings
• Asystent - a Prototype of a Motivating Electronic Assistant
  Patrycja Swieczkowska; Jolanta Bachan; Rafal Rzepka; Kenji Araki
  Proceedings of Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2017), 11, 19, CEUR-WS.org, Aug. 2017, [Peer-reviewed]
  English, International conference proceedings
• Conscious vs. Unaware Evaluation - Using Collective Intelligence for an Automatic Evaluation of Acts
  Rafal Rzepka; Kenji Araki
  2nd international workshop on evaluating general-purpose AI (EGPAI2017), Aug. 2017, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Prototyping A Virtual Reality Game for Commonsense Knowledge Acquisition and Story Understanding
  Rafal Rzepka; Joelle Vitzikam; Nicolas Flasque; Kenji Araki
  Proceedings of Language Sense on Computers IJCAI 2016 Workshop, 35, 40, Aug. 2017, [Peer-reviewed], [Lead author]
  English
• Natural Language Processing for Predicting Everyday Behavior with and without Time and Duration Information
  Rafal Rzepka; Kenji Araki
  International Symposium on Forecasting 2017, Jun. 2017, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• ML-Ask: Open Source Affect Analysis Software for Textual Input in Japanese
  Michal Ptaszynski; Pawel Dybala; Rafal Rzepka; Kenji Araki; Fumito Masui
  Journal of Open Research Software, 1, 16, 16, May 2017, [Peer-reviewed]
  English, Scientific journal, We present ML-Ask – the first Open Source Affect Analysis system for textual input in Japanese. ML-Ask analyses the contents of an input (e.g., a sentence) and annotates it with information regarding the contained general emotive expressions, specific emotional words, valence-activation dimensions of overall expressed affect, and particular emotion types expressed with their respective expressions. ML-Ask also incorporates the Contextual Valence Shifters model for handling negation in sentences to deal with grammatically expressible shifts in the conveyed valence. The system, designed to work mainly under Linux and MacOS, can be used for research on, or applying the techniques of Affect Analysis within the framework Japanese language. It can also be used as an experimental baseline for specific research in Affect Analysis, and as a practical tool for written contents annotation.
• A Survey on Emoticon Recommendation Technology
  Yuki Urabe; Rafal Rzepka; Michal Ptaszynski
  JSAI Magazine, 32, 3, 356, 363, May 2017, [Invited]
  Japanese, Research society
• Worlds Linking Faces - Meaning and Possibilities of Contemporary Pictograms
  Rafal Rzepka; Noriyuki Okumura; Michal Ptaszynski
  JSAI Magazine, 32, 3, 350, 355, May 2017, [Invited], [Lead author]
  Japanese, Research society
• Research Trends of Kaomoji Analytics from Engineering and Psychological Points of View
  Noriyuki Okumura; Michal Ptaszynski; Rafal Rzepka
  JSAI Magazine, 32, 3, 342, 349, May 2017, [Invited], [Last author]
  Japanese, Research society
• A Review of the Phenomenon and Studies on Emoticons - How Play on Symbols Became Science
  Michal Ptaszynski; Noriyuki Okumura; Rafal Rzepka
  JSAI Magazine, 32, 3, 333, 341, May 2017, [Invited], [Last author]
  Japanese, Research society
• Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop co-located with the 26th International Joint Conference on Artificial Intelligence, LaCATODA@IJCAI 2017, Melbourne, Australia, August 21, 2017.
  LaCATODA@IJCAI, 1926, CEUR-WS.org, 2017
  International conference proceedings
• Effects of amaranth (Amaranthus esculantus) and canola (Brassica napus) oil supplementation on oxidative metabolism of neutrophils in patients with obesity
  Rafal Rzepka
  The FASEB Journal, 2017
  Scientific journal
• Subjective? Emotional? Emotive?: Language Combinatorics based Automatic Detection of Emotionally Loaded Sentences
  Michal Ptaszynski; Fumito Masui; Rafal Rzepka; Kenji Araki
  Linguistics and Literature Studies, 5, 1, 36, 50, Jan. 2017, [Peer-reviewed]
  English, Scientific journal, In this paper presents our research in automatic detection of emotionally loaded, or emotive sentences. We define the problem from a linguistic point of view assuming that emotive sentences stand out both lexically and grammatically. To verify this assumption we prepare a text classification experiment. In the experiment we apply language combinatorics approach to automatically extract emotive patterns from training sentences. the applied approach allows automatic extraction of not only widely used unigrams (tokens), or n-grams, but also more sophisticated patterns with disjointed elements. The results of experiments are explained with the use of means such as standard Precision, Recall and balanced F-score. The algorithm also provides a refined list of most frequent sophisticated patterns typical for both emotive and non-emotive context. The method reached results comparable to the state of the art, while the fact that it is fully automatic makes it more efficient and language independent.
• What people say? Web-based casuistry for artificial morality experiments
  Rafal Rzepka; Kenji Araki
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10414, 178, 187, Springer Verlag, 2017, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Towards joking, humor sense equipped and emotion aware conversational systems
  Pawel Dybala; Motoki Yatsu; Michal Ptaszynski; Rafal Rzepka; Kenji Araki
  Advances in Intelligent Systems and Computing, 483, 657, 669, Springer Verlag, 2017, [Peer-reviewed]
  English, International conference proceedings
• Automatic Evaluation of Commonsense Knowledge for Refining Japanese ConceptNet
  Seiya Shudo; Rafal Rzepka; Kenji Araki
  Proceeding of 12th Workshop on Asian Language Resources (ALR 2016), 105, 112, The COLING 2016 Organizing Committee, Dec. 2016, [Peer-reviewed]
  English, International conference proceedings
• Exploiting Wikipedia-based Information-rich Taxonomy for Extracting Location and Creator Related Information for ConceptNet Expansion
  Marek Krawczyk; Rafal Rzepka; Kenji Araki
  Proceedings of the 7th Language and Technology Conference - LTC 2015, 383, 387, Nov. 2016, [Peer-reviewed]
  English, International conference proceedings
• Prototyping Radiobots - Automatic Radio Talks Generator Considering Live Feedback from Listeners
  Rafal Rzepka; Yasutomo Kimura; Yoshihito Tsuji; Keiichi Takamaru
  Proceedings of Workshop on Chatbots and Conversational Agents Collocated with IVA2016, Sep. 2016, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Extracting location and creator-related information from Wikipedia-based information-rich taxonomy for ConceptNet expansion
  Marek Krawczyk; Rafal Rzepka; Kenji Araki
  KNOWLEDGE-BASED SYSTEMS, 108, 7, 125, 131, Sep. 2016, [Peer-reviewed]
  English, Scientific journal
• Expansion of medical vocabularies using distributional semantics on Japanese patient blogs
  Magnus Ahltorp; Maria Skeppstedt; Shiho Kitajima; Aron Henriksson; Rafal Rzepka; Kenji Araki
  JOURNAL OF BIOMEDICAL SEMANTICS, 7, 58, 58, 58, Sep. 2016, [Peer-reviewed]
  English, Scientific journal
• Detecting Cyberbullying with Morphosemantic Patterns
  Michal Ptaszynski; Fumito Masui; Yoko Nakajima; Yasutomo Kimura; Rafal Rzepka; Kenji Araki
  Joint 8th International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems (SCIS-ISIS 2016), 248, 255, Aug. 2016, [Peer-reviewed]
  English, International conference proceedings
• Emotion Prediction System for Japanese Language Considering Compound Sentences, Double Negatives and Adverbs
  Rafal Rzepka; Mitsuru Takizawa; Kenji Araki
  Proceedings of Language Sense on Computers IJCAI 2016 Workshop, 73, 79, Jul. 2016, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Recognizing and Converting Cockney Rhyming Slang for Cyberbullying And Crime Detection
  Radoslaw Komuda; Michal Ptaszynski; Rafal Rzepka; Kenji Araki
  Proceedings of Language Sense on Computers IJCAI 2016 Workshop, 67, 72, Jul. 2016, [Peer-reviewed]
  English, International conference proceedings
• Praiseworthy Acts Recognition Using Web-based Knowledge and Semantic Categories
  Rafal Rzepka; Kohei Matsumoto; Kenji Araki
  Proceedings of the 4th Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2016) co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), CEUR 1619, 41, 47, CEUR-WS.org, Jul. 2016, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Avoiding Green and Colorless Ideas - Text-based Color-Related Knowledge Acquisition for Better Image Understanding
  Rafal Rzepka; Keita Mitsuhashi; Kenji Araki
  Proceedings of 4th International Workshop on Artificial Intelligence and Cognition AIC 2016 (CEUR vol. 1895), 38, 44, CEUR-WS.org, Jul. 2016, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• A System for English Vocabulary Acquisition based on Code-Switching
  Michal Mazur; Krzysztof Karolczak; Rafal Rzepka; Kenji Araki
  International Journal of Distance Education Technologies, 14, 3, 52, 75, IGI Global, Jul. 2016, [Peer-reviewed]
  English, Scientific journal, Vocabulary plays an important part in second language learning and there are many existing techniques to facilitate word acquisition. One of these methods is code-switching, or mixing the vocabulary of two languages in one sentence. In this paper the authors propose an experimental system for computer-assisted English vocabulary learning in context using a code-switching based approach for Japanese learners. First they introduce the CO-MIX system, an English vocabulary teaching system that uses code-switching for vocabulary acquisition. Next, they show how they utilize incidental learning techniques with graded readers to increase language proficiency. The authors present the system architecture, underlying technologies, and evaluate the system's performance through user interaction with both a baseline and the proposed system by using a semantic differential scale. They also perform separate factor analysis of participants' attitudes for both systems, an analysis of users' mistakes and compare users' language tests scores. Finally, the authors discuss the evaluation results and further development of this technology.
• Sustainable cyberbullying detection with category-maximized relevance of harmful phrases and double-filtered automatic optimization
  Michal Ptaszynski; Fumito Masui; Taisei Nitta; Suzuha Hatakeyama; Yasutomo Kimura; Rafal Rzepka; Kenji Araki
  International Journal of Child-Computer Interaction, 8, 15, 30, Elsevier B.V., 01 May 2016, [Peer-reviewed]
  English, Scientific journal
• Global Brain That Makes You Think Twice
  Rafal Rzepka; Michal Mazur; Austin Clapp; Kenji Araki
  AAAI Spring Symposium on Well-Being Computing: AI Meets Health and Happiness Science, 403, 410, AAAI Press, Mar. 2016, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• A Moral Judgment System using Evaluation Expressions
  Rafal Rzepka
  Transactions of Japan Society of Kansei Engineering, 2016
  Scientific journal
• Simile or Not Simile? Automatic Detection of Metonymic Relations in Japanese Literal Comparisons
  Pawel Dybala; Rafal Rzepka; Kenji Araki; Kohichi Sayama
  HUMAN LANGUAGE TECHNOLOGY: CHALLENGES FOR COMPUTER SCIENCE AND LINGUISTICS, 9561, 277, 289, 2016, [Peer-reviewed]
  English, International conference proceedings
• Rule-based Approach to Extracting Location, Creator and Membership-related Information from Wikipedia-based Information-rich Taxonomy for ConceptNet Expansion
  Marek Krawczyk; Rafal Rzepka; Kenji Araki; Marek Krawczyk
  Proceedings of Language Sense on Computers IJCAI 2016 Workshop, 29, 35, 2016, [Peer-reviewed]
  English, International conference proceedings
• Extracting Patterns of Harmful Expressions for Cyberbullying Detection
  Michal Ptaszynski; Fumito Masui; Yasutomo Kimura; Rafal Rzepka; Kenji Araki
  Proceedings of the 7th Language and Technology Conference - LTC 2015, 370, 375, Nov. 2015, [Peer-reviewed]
  English, International conference proceedings
• Applying Code-Switching Method for E-Learning in English and Japanese Vocabulary Acquisition Systems
  Michal Mazur; Rafal Rzepka; Kenji Araki
  Proceedings of the 7th Language and Technology Conference - LTC 2015, 487, 491, Nov. 2015, [Peer-reviewed]
  English, Scientific journal
• Brute Force Works Best Against Bullying
  Michal Ptaszynski; Fumito Masui; Yasutomo Kimura; Rafal Rzepka; Kenji Araki
  IJCAI 2015 Workshop on INTELLIGENT PERSONALIZATION (IP'2015), CEUR-WS.org, Jul. 2015, [Peer-reviewed]
  International conference proceedings
• Haiku Generator That Reads Blogs and Illustrates Them with Sounds and Images
  Rafal Rzepka; Kenji Araki
  Proceedings of 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), 2496, 2502, AAAI Press, Jul. 2015, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Automatic Narrative Humor Recognition Method Using Machine Learning and Semantic Similarity Based Punchline Detection
  Rafal Rzepka; Yusuke Amaya; Motoki Yatsu; Kenji Araki
  Proceedings of IJCAI 2015 International Workshop on Chance Discovery, Data Synthesis and Data Market, 25, 31, Jul. 2015, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Toward Artificial Ethical Learners That Could Also Teach You How to Be a Moral Man
  Rafal Rzepka; Kenji Araki
  Proceedings of IJCAI 2015 Workshop on Cognitive Knowledge Acquisition and Applications (Cognitum 2015), Jul. 2015, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Replacing Sensors with Text Occurrences for Commonsense Knowledge Acquisition
  Rafal Rzepka; Marek Krawczyk; Kenji Araki
  Proceedings of IJCAI 2015 Workshop on Cognitive Knowledge Acquisition and Applications (Cognitum 2015), Jun. 2015, [Peer-reviewed], [Lead author]
  English, Scientific journal
• Language-Centered World Simulator for Testing Various Approaches to Machine Consciousness
  Rafal Rzepka; Kenji Araki
  Proceedings of the Toward a Science of Consciousness (TSC 2015) Conference, 210, 210, Jun. 2015, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Conscienceness – the correlation between Machine Ethics and Machine Consciousness
  Radoslaw Komuda; Rafal Rzepka; Kenji Araki
  Proceedings of the Toward a Science of Consciousness (TSC 2015) Conference, 208, 208, Jun. 2015, [Peer-reviewed]
  English, International conference proceedings
• Semantic analysis of bloggers experiences as a knowledge source of average human morality
  Rafal Rzepka; Kenji Araki
  Rethinking Machine Ethics in the Age of Ubiquitous Technology, 73, 95, IGI Global, 31 May 2015, [Peer-reviewed], [Invited], [Lead author]
  English, In book
• Multi-Emotion Estimation in Narratives from Crowdsourced Annotations
  Rafal Rzepka
  Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2015
  Scientific journal
• Detrended cross-correlations between returns, volatility, trading activity, and volume traded for the stock market companies
  Rafal Rzepka
  ArXiv, 2015
  Scientific journal
• Aligning plot synopses to videos for story-based retrieval
  Rafal Rzepka
  International Journal of Multimedia Information Retrieval, 2015
  Scientific journal
• Automatic Extraction of Harmful Sentence Patterns with Application in Cyberbullying Detection.
  Michal Ptaszynski; Fumito Masui; Yasutomo Kimura; Rafal Rzepka; Kenji Araki
  Human Language Technology. Challenges for Computer Science and Linguistics - 7th Language and Technology Conference(LTC), 349, 362, Springer, 2015
  International conference proceedings
• ELIZA fifty years later: An automatic therapist using bottom-up and top-down approaches
  Rafal Rzepka; Kenji Araki
  Intelligent Systems, Control and Automation: Science and Engineering, 74, 257, 272, Kluwer Academic Publishers, 2015, [Peer-reviewed], [Invited], [Lead author]
  English, Scientific journal
• Populating ConceptNet knowledge base with Information Acquired from Japanese Wikipedia
  Marek Krawczyk; Rafal Rzepka; Kenji Araki
  2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, 2985, 2989, 2015, [Peer-reviewed]
  English, International conference proceedings
• Comparison of Emoticon Recommendation Methods to Improve Computer-Mediated Communication
  Rafal Rzepka
  STRUCTURAL DIFFERENTIATION IN SOCIAL MEDIA: ADHOCRACY, ENTROPY, AND THE 1 % EFFECT, 23, 39, Springer, 2015, [Peer-reviewed]
  English, Scientific journal
• 闘病ブログに出現する（薬剤名，対象，効果）で表現される薬剤服用情報の抽出
  北嶋志保; ジェプカ・ラファウ; 荒木健治
  知能と情報（日本知能情報ファジィ学会誌）, 27, 1, 512, 526, Jan. 2015, [Peer-reviewed]
  Japanese, Scientific journal
• HokuMed in NTCIR-11 MedNLP-2: Automatic Extraction of Medical Complaints from Japanese Health Records Using Machine Learning and Rule-based Methods
  Magnus Ahltorp; Hideyuki Tanushi; Shiho Kitajima; Maria Skeppstedt; Rafal Rzepka; Kenji Araki
  Proceedings of the 11th NTCIR Conference, 158, 162, National Institute of Informatics (NII), Dec. 2014, [Peer-reviewed]
  English, International conference proceedings
• Using Time Periods Comparison for Eliminating Chronological Discrepancies between Question and Answer Candidates at QALab NTCIR11 Task
  Yasutomo Kimura; Fumitoshi Ashihara; Arnaud Jordan; Keiichi Takamaru; Yuzu Uchida; Hokuto Ototake; Hideyuki Shibuki; Michal Ptaszynski; Rafal Rzepka; Fumito Masui; Kenji Araki
  Proceedings of the 11th NTCIR Conference, 550, 555, National Institute of Informatics (NII), Dec. 2014, [Peer-reviewed]
  English, International conference proceedings
• Medical vocabulary mining using distributional semantics on Japanese patient blogs
  Magnus Ahltorp; Maria Skeppstedt; Shiho Kitajima; Rafal Rzepka; Kenji Araki
  Proceedings of the 6th International Symposium on Semantic Mining in Biomedicine (SMBM 2014), 69, 73, Sep. 2014, [Peer-reviewed]
  English, International conference proceedings
• Blog Snippets Based Drug Effects Extraction System Using Lexical and Grammatical Restrictions
  Rafal Rzepka
  International Journal of Multimedia Data Engineering and Management (IJMDEM), 5, 2, 1, 17, Sep. 2014, [Peer-reviewed], [Invited]
  English, Scientific journal
• Emoticon Recommendation System to Richen Your Online Communication
  Yuki Urabe; Rafal Rzepka; Kenji Araki
  International Journal of Multimedia Data Engineering and Management, 5, 1, 14, 33, IGI Global, Jun. 2014, [Peer-reviewed]
  English, Scientific journal, Japanese emoticons are widely used to express users' feelings and intentions in social media, blogs and instant messages. Japanese smartphone keypads have a feature that shows a list of emoticons, enabling users to insert emoticons simply by touching them. However, this list of emoticons contains more than 200, which is difficult to choose from, so a method to reorder the list and recommend appropriate emoticons to users is necessary. This paper proposes an emoticon recommendation method based on the emotive statements of users and their past selections of emoticons. The system is comprised of an affect analysis system and an original emoticon database: a table of 59 emoticons numerically categorized by 10 emotion types. The authors' experiments showed that 73.0% of chosen emoticons were among the top five recommended by the system, which is an improvement of 43.5% over the method used in current smartphones, which is based only on users' past emoticon selections.
• Matching Word-Order Variations and Sorting Results for the iEPG Data Search
  Rafal Rzepka
  International Journal of Multimedia Data Engineering and Management (IJMDEM), 5, 1, 52, 64, Jun. 2014, [Peer-reviewed]
  English, Scientific journal
• Mapping the Landscape of Human-Level Artificial General Intelligence(Introduction to the Artificial General Intelligence)
  Sam S. Adams; Itamar Arel; Joscha Bach; Robert Coop; Rob Furlan; Ben Goertzel; J. Storrs Hall; Alexei Samsonovich; Matthias Scheutz; Matthew Schlesinger; Stuart C. Shapiro; John Sowa; Kosuke Shinoda; Ryutaro Ichise; Rafal Rzepka; Atsushi Terao; Kotaro Funakoshi; Hiroyasu Matsushima; Hiroshi Yamakawa
  Journal of the Japanese Society for Artificial Intelligence, 29, 3, 241, 257, 人工知能学会 ; 2014-, May 2014, [Invited]
  Japanese, Scientific journal, 本論文では人間レベルの汎用人工知能(Artificial General Intelligence:以下AGI)の実現に向けたロードマップの概要を述べる.AGI一般に関する議論から始め,実現への現実的な目標および特性と必要条件に関して基本的な定義を行い,AGIが備えるべき能力の起点となる展望(全体図)を示す.具体的には,発達心理学からAGIの主要テーマを導出し,数学的・生理学的・情報処理的観点から実装に必要な知見を得る.AGIの性能評価に適したタスクと環境を同定し,AGIの全体図上のロードマップを構成するマイルストーンとして七つのシナリオを示すことで,さらなるAGI研究や連携の方向性を提示する.
• Task-Oriented Consciousness – Will My Robot Feel More Happiness and Freedom Than Me?
  Rafal Rzepka; Kenji Araki
  Anniversary “Toward a Science of Consciousness” Conference,(TSC2014), Apr. 2014, [Peer-reviewed], [Lead author]
  English, Scientific journal
• Experience of Crowds as a Guarantee for Safe Artificial Self
  Rafal Rzepka; Kenji Araki
  Tech. Reports from AAAI Spring Symposium on Implementing Selves with Safe Motivational Systems & Self-Improvement, 40, 44, AAAI Press, Mar. 2014, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Automatically annotating a five-billion-word corpus of Japanese blogs for sentiment and affect analysis
  Michal Ptaszynski; Rafal Rzepka; Kenji Araki; Yoshio Momouchi
  Computer Speech and Language, 28, 1, 38, 55, 2014
  English, Scientific journal
• End-users needs and requirements for tools to support critical infrastructures protection
  Rafal Rzepka
  ArXiv, 2014
  Scientific journal
• An empirical examination of factors affecting college students' proactive stickiness with a web-based English learning environment
  Rafal Rzepka
  Computers in Human Behavior, 2014
  Scientific journal
• Annotating Japanese Blogs with Syntactic and Affective Information.
  Michal Ptaszynski; Yoshio Momouchi; Jacek Maciejewski; Pawel Dybala; Rafal Rzepka; Kenji Araki
  Mining User Generated Content, 189, 221, Chapman and Hall/CRC, 2014
• Emotive or Non-emotive: That is The Question.
  Michal Ptaszynski; Fumito Masui; Rafal Rzepka; Kenji Araki
  Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis(WASSA@ACL), 59, 65, The Association for Computer Linguistics, 2014
  International conference proceedings
• A Survey on Large Scale Corpora and Emotion Corpora
  Ptaszynski Michal; Rzepka Rafal; Oyama Satoshi; Kurihara Masahito; Araki Kenji
  IMT, 9, 4, 429, 445, Information and Media Technologies Editorial Board, 2014
  English, Scientific journal, In this paper we present a survey on natural language corpora, with particular focus on corpora of large scale and those applicable to sentiment analysis. Natural language corpora are crucial for training various Software Engineering applications, from part-of-speech taggers and dependency parsers to dialog systems or sentiment analysis software. We compare several natural language corpora created for different languages, analyze their distinctive features and the amount of additional annotations provided by the developers of those corpora.
• A survey on large scale corpora and emotion corpora
  Ptaszynski, M.; Rzepka, R.; Oyama, S.; Kurihara, M.; Araki, K.
  Computer Software, 31, 2, 2.151-2.167 (J-STAGE), 2014, [Peer-reviewed]
  English, Scientific journal
• Detecting emotive sentences with pattern-based language modelling
  Michal Ptaszynski; Fumito Masui; Rafal Rzepka; Kenji Araki
  KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014, 35, 484, 493, 2014, [Peer-reviewed]
  English, International conference proceedings
• Detecting false metaphors in Japanese
  Pawel Dybala; Rafal Rzepka; Kenji Araki; Kohichi Sayama
  Proceedings of the 6th Language & Technology Conference (LTC’13), 127, 131, Dec. 2013, [Peer-reviewed]
  English, International conference proceedings
• Analysis of Conceptualization Patterns across Groups of People
  Fumiko Kano Gluckstad; Tue Helau; Mikkel N. Schmid; Morten Motup; Rafal Rzepka; Kenji Araki
  Proceedings of 2013 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013), 349, 354, IEEE Computer Society, Dec. 2013, [Peer-reviewed]
  English, International conference proceedings
• Detecting Cyberbullying Entries on Informal School Websites Based on Category Relevance Maximization
  Taisei Nitta; Fumito Masui; Michal Ptaszynski; Yasutomo Kimura; Rafal Rzepka; Kenji Araki
  Proceedings of the 6th International Joint Conference on Natural Language Processing (IJCNLP 2013), 579, 586, Asian Federation of Natural Language Processing / ACL, Oct. 2013, [Peer-reviewed]
  English, International conference proceedings
• Extraction of Drug Information Using Clue Words from Japanese Blogs
  Shiho Kitajima; Rafal Rzepka; Kenji Araki
  Proceedings of Conference of the Pacific Association for Computational Linguistics 2013 (PACLING 2013), Sep. 2013, [Peer-reviewed]
  English, International conference proceedings
• Applying the Stop List and Part of Speech Analysis to Processing the IEPG Search Query
  Denis Kiselev; Rafal Rzepka; Kenji Araki
  Proceedings of Conference of the Pacific Association for Computational Linguistics 2013 (PACLING 2013), Sep. 2013, [Peer-reviewed]
  English, International conference proceedings
• Semantic Clues for Novel Metaphor Generator
  Rafal Rzepka; Pawel Dybala; Koichi Sayama; Kenji Araki
  Proceedings of 2nd International Workshop of Computational Creativity, Concept Invention, and General Intelligence, Aug. 2013, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Open Source Affect Analysis System with Extensions
  Michal Ptaszynski; Fumito Masui; Pawel Dybala; Rafal Rzepka; Kenji Araki
  Proceedings of the 1st International Conference on Human-Agent InteractionI (iHAI 2013), Aug. 2013, [Peer-reviewed]
  English, International conference proceedings
• Cyberbullying Detection Based on Category Relevance Maximization
  Taisei Nitta; Fumito Masui; Michal Ptaszynski; Yasutomo Kimura; Rafal Rzepka; Kenji Araki
  20th International Conference on Language Processing and Intelligent Information Systems, Jun. 2013, [Peer-reviewed]
  English, International conference proceedings
• Automatic detection of cyberbullying with the use of Natural Language Processing methods
  Michal Ptaszynski; Taisei Nitta; Fumito Masui; Yasutomo Kimura; Rafal Rzepka; Kenji Araki
  A open lecture presented on the Faculty of Mathematics and Computer Science of Adam Mickiewicz University, Jun. 2013, [Peer-reviewed]
  English
• Towards computational fronesis: Verifying contextual appropriateness of emotions
  Michal Ptaszynski; Pawel Dybala; Michal Mazur; Rafal Rzepka; Kenji Araki; Yoshio Momouchi
  International Journal of Distance Education Technologies, 11, 2, 16, 47, Apr. 2013, [Peer-reviewed]
  English, Scientific journal
• Limiting Context by Using the Web to Minimize Conceptual Jump Size
  Rafal Rzepka; Koichi Muramoto; Kenji Araki
  ALGORITHMIC PROBABILITY AND FRIENDS: BAYESIAN PREDICTION AND ARTIFICIAL INTELLIGENCE, 7070, 318, 326, 2013, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Performance Improvement of Drug Effects Extraction System from Japanese Blogs
  Shiho Kitajima; Rafal Rzepka; Kenji Araki
  2013 IEEE SEVENTH INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC 2013), 383, 386, 2013, [Peer-reviewed]
  English, International conference proceedings
• Improving search query matching for electronic TV program guide data extraction
  Denis Kiselev; Rafal Rzepka; Kenji Araki
  Proceedings - 2013 IEEE 7th International Conference on Semantic Computing, ICSC 2013, 146, 149, IEEE, 2013, [Peer-reviewed]
  English, International conference proceedings
• Emoticon Recommendation for Japanese Computer-Mediated Communication
  Yuki Urabe; Rafal Rzepka; Kenji Araki
  2013 IEEE SEVENTH INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC 2013), 25, 31, 2013, [Peer-reviewed]
  English, International conference proceedings
• Possible usage of sentiment analysis for calculating vectors of felific calculus
  Rafal Rzepka; Kenji Araki
  Proceedings - IEEE 13th International Conference on Data Mining Workshops, ICDMW 2013, 967, 970, IEEE Computer Society, 2013, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Emoticon recommendation system for effective communication
  Yuki Urabe; Rafal Rzepka; Kenji Araki
  Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013, 1460, 1461, Association for Computing Machinery, 2013, [Peer-reviewed]
  English, International conference proceedings
• Society as a life teacher - Automatic recognition of instincts underneath human actions by using blog corpus
  Rafal Rzepka; Kenji Araki
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8238, 370, 376, Springer, 2013, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Affect analysis in context of characters in narratives
  Michal Ptaszynski; Hiroaki Dokoshi; Satoshi Oyama; Rafal Rzepka; Masahito Kurihara; Kenji Araki; Yoshio Momouchi
  EXPERT SYSTEMS WITH APPLICATIONS, 40, 1, 168, 176, Jan. 2013, [Peer-reviewed]
  English, Scientific journal
• Dynamics of stainless steel turning: Analysis by flicker-noise spectroscopy
  Rafal Rzepka
  ArXiv, 2013
  Scientific journal
• A socio-cognitive model of trust using argumentation theory
  Rafal Rzepka
  International Journal of Approximate Reasoning, 2013
  Scientific journal
• NLP Oriented Japanese Pun Classification
  Pawel Dybala; Rafal Rzepka; Kenji Araki; Kohichi Sayama
  2012 INTERNATIONAL CONFERENCE ON ASIAN LANGUAGE PROCESSING (IALP 2012), 33, 36, 2012, [Peer-reviewed]
  English, International conference proceedings
• Data filtering in humor generation: Comparative analysis of hit rate and co-occurrence rankings as a method to choose usable pun candidates
  Pawel Dybala; Rafal Rzepka; Kenji Araki; Kohichi Sayama
  ACM International Conference Proceeding Series, 2587, 2590, ACM, 2012, [Peer-reviewed]
  English, International conference proceedings
• Japanese Puns Are Not Necessarily Jokes.
  Pawel Dybala; Rafal Rzepka; Kenji Araki; Kohichi Sayama
  Artificial Intelligence of Humor, Papers from the 2012 AAAI Fall Symposium, Arlington, Virginia, USA, November 2-4, 2012, AAAI, 2012, [Peer-reviewed]
  International conference proceedings
• Automatic Reverse Engineering of Human Beavior Based on Text for Knowledge Acquisition.
  Rafal Rzepka; Kenji Araki
  Proceedings of the 34th Annual Meeting of the Cognitive Science Society(CogSci), cognitivesciencesociety.org, 2012
  International conference proceedings
• RhetorEthics, or - On implementing an aristotelian approach to machine ethics
  Radoslaw Komuda; Rafal Rzepka; Kenji Araki
  AISB/IACAP World Congress 2012: Linguistic and Cognitive Approaches to Dialogue Agents, Part of Alan Turing Year 2012, 22, 24, 2012
  English, International conference proceedings
• A domain analytic method in modular-designed dialogue system: Application to a system for Japanese
  Motoki Yatsu; Rafal Rzepka; Kenji Araki
  AISB/IACAP World Congress 2012: Linguistic and Cognitive Approaches to Dialogue Agents, Part of Alan Turing Year 2012, 25, 30, 2012
  English, International conference proceedings
• Chatterbots with occupation - Between non task and task oriented conversational agents
  Michal Mazur; Rafal Rzepka; Kenji Araki
  AISB/IACAP World Congress 2012: Linguistic and Cognitive Approaches to Dialogue Agents, Part of Alan Turing Year 2012, 61, 66, 2012
  English, International conference proceedings
• Augmenting interaction: Collecting common sense through AR objects
  Svetoslav Dankov; Rafal Rzepka; Kenji Araki
  AISB/IACAP World Congress 2012: Linguistic and Cognitive Approaches to Dialogue Agents, Part of Alan Turing Year 2012, 15, 21, 2012
  English, International conference proceedings
• The gauging of two-dimensional bosonic sigma models on world-sheets with defects
  Rafal Rzepka
  ArXiv, 2012
  Scientific journal
• Science of emoticons: Research framework and state of the art in analysis of kaomoji-type emoticons
  Michal Ptaszynski; Jacek Maciejewski; Pawel Dybala; Rafal Rzepka; Kenji Araki; Yoshio Momouchi
  Speech, Image, and Language Processing for Human Computer Interaction: Multi-Modal Advancements, 234, 260, IGI Global, 2012, [Peer-reviewed], [Invited]
  English, In book
• YACIS: A five-billion-word corpus of Japanese Blogs fully annotated with syntactic and affective information
  Michal Ptaszynski; Pawel Dybala; Rafal Rzepka; Kenji Araki; Yoshio Momouchi
  AISB/IACAP World Congress 2012: Linguistic and Cognitive Approaches to Dialogue Agents, Part of Alan Turing Year 2012, 40, 49, 2012
  International conference proceedings
• Emotion valence shifts in humorous metaphor misunderstandings generation
  Pawel Dybala; Michal Ptaszynski; Rafal Rzepka; Kenji Araki; Kohichi Sayama
  AISB/IACAP World Congress 2012: Linguistic and Cognitive Approaches to Dialogue Agents, Part of Alan Turing Year 2012, 50, 54, 2012
  International conference proceedings
• Automatically Annotating A Five-Billion-Word Corpus of Japanese Blogs for Affect and Sentiment Analysis.
  Michal Ptaszynski; Rafal Rzepka; Kenji Araki; Yoshio Momouchi
  Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis(WASSA@ACL), 89, 98, The Association for Computer Linguistics, 2012
  International conference proceedings
• Language of Emotions for Simulating Moral Imagination
  Rafal Rzepka; Kenji Araki
  Proceedings of the 6th Confetence of Language, Discourse, and Cognition (CLDC 2012), 67, 67, 2012, [Peer-reviewed], [Lead author]
  English
• Evaluation of utterances based on causal knowledge retrieved from blogs
  Motoyasu Fujita; Rafal Rzepka; Kenji Araki
  Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2011, 294, 299, 2011, [Peer-reviewed]
  English, International conference proceedings
• A Modules-Based, Task-Navigational Dialogue System
  Motoki Yatsu; Rafal Rzepka; Kenji Araki
  Proceedings of PACLING 2011, 46, 2011, [Peer-reviewed]
  International conference proceedings
• Introducing Grammatically Aware Regular Expression
  Tyson Roberts; Rafal Rzepka; Kenji Araki
  Proceedings of PACLING 2011, 48, 2011, [Peer-reviewed]
  International conference proceedings
• UIAR Common Sense: an augmented reality framework for creating games to collect common sense from users
  Svetoslav Dankov; Rafal Rzepka; Kenji Araki
  Procedia - Social and Behavioral Sciences, 27, 274, 280, 2011, [Peer-reviewed]
  English, International conference proceedings
• Proposal for a Conversational English Tutoring System that Encourages User Engagement
  Michal Mazur; Rafal Rzepka; Kenji Araki
  ICCE, 10, 12, 2011, [Peer-reviewed]
  International conference proceedings
• Generality Evaluation of Automatically Generated Knowledge for the Japanese Concept Net
  Rafal Rzepka; Koichi Muramoto; Kenji Araki
  AI 2011: ADVANCES IN ARTIFICIAL INTELLIGENCE, 7106, 648, 657, 2011, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Just Keep Tweeting, Dear: Web-Mining Methods for Helping a Social Robot Understand User Needs.
  Keisuke Takagi; Rafal Rzepka; Kenji Araki
  Help Me Help You: Bridging the Gaps in Human-Agent Collaboration, Papers from the 2011 AAAI Spring Symposium, Technical Report SS-11-05, Stanford, California, USA, March 21-23, 2011, 60, 65, AAAI, 2011, [Peer-reviewed]
  International conference proceedings
• Two acts of social intelligence: the effects of mimicry and social praise on the evaluation of an artificial agent
  Rafal Rzepka
  AI & SOCIETY, 2011
  Scientific journal
• Vaccines and Vaccine Adjuvants as Biological Response Modifiers
  Rafal Rzepka
  Infectious Disease Clinics of North America, 2011
  Scientific journal
• Affine su(2) fusion rules from gerbe 2-isomorphisms
  Rafal Rzepka
  ArXiv, 2011
  Scientific journal
• Language Combinatorics: A Sentence Pattern Extraction Architecture Based on Combinatorial Explosion
  Michal Ptaszynski; Rafal Rzepka; Yoshio Momouchi
  International Journal of Computational Linguistics, 2, 1, 24, 36, Computer Science Journals, 2011, [Peer-reviewed]
  English, Scientific journal, A "sentence pattern" in modern Natural Language Processing is often considered as asubsequent string of words (n-grams). However, in many branches of linguistics, like Pragmaticsor Corpus Linguistics, it has been noticed that simple n-gram patterns are not sufficient to revealthe whole sophistication of grammar patterns. We present a language independent architecturefor extracting from sentences more sophisticated patterns than n-grams. In this architecture a"sentence pattern" is considered as n-element ordered combination of sentence elements.Experiments showed that the method extracts significantly more frequent patterns than the usualn-gram approach.
• WWW-based Figurative Descriptions for Japanese Word
  MASUI Fumito; RZEPKA Rafal; KIMURA Yasutomo; FUKUMOTO Jun-ichi; ARAKI Kenji
  Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 22, 6, 707, 719, Japan Society for Fuzzy Theory and Intelligent Informatics, 15 Dec. 2010, [Peer-reviewed]
  Japanese, Scientific journal, In this paper, we propose a method for describing a Japanese word, not with explaining or defining sentences, but with figurative descriptions. Utilizing a simile pattern, our method gathers a large number of noun-noun relations from the World Wide Web. On the basis of those relations and their statistical information, associative pieces of knowledge called descriptors are estimated. The descriptors, which describe a query word figuratively, are sorted by ranking in order of descriptive ability level with generality and locality. Moreover, combining property of figurative relation and some fixed patterns, the descriptors are classified into concept words, attribute words, and the others. As output, a set of sorted descriptors is shown with several types of output forms. Some experiments using a prototype system "Murasaki" have been conducted. The experimental results show that the fundamental performance of our method is significantly better than the bag-of-words approach. Additionally, the responsiveness for hot keywords on information retrieval web sites shows that the outcome of the evaluation had 60% precision, which exceeds that of a common dictionary. The method also functioned effectively in ranking performance (74% on MRR) and classification performance (63% accuracy). Furthermore, it is possible that the proposed method could be comparable to Wikipedia if steady coverage of the figurative descriptions for a query word could be ensured.
• EVALUATING SUBJECTIVE ASPECTS OF HCI ON AN EXAMPLE OF A NON-TASK ORIENTED CONVERSATIONAL SYSTEM
  Pawel Dybala; Michal Ptaszynski; Rafal Rzepka; Kenji Araki
  INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 19, 6, 819, 856, Dec. 2010, [Peer-reviewed]
  English, Scientific journal
• An Automatic Evaluation Method for Conversational Agents Based on Affect-as-Information Theory
  PTASZYNSKI Michal; DYBALA Pawel; RZEPKA Rafal; ARAKI Kenji
  Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 22, 1, 73, 89, Japan Society for Fuzzy Theory and Intelligent Informatics, 15 Feb. 2010, [Peer-reviewed]
  English, Scientific journal, This paper presents a method for automatic evaluation of conversational agents. The method consists of several steps. First, an affect analysis system is used to detect users' general emotional engagement in the conversation and classify their specific emotional states. Next, we interpret this data with the use of reasoning based on Affect-as-Information Theory to obtain information about users' general attitudes to the conversational agent and its performance. The affect analysis system was also enhanced with a procedure for analysis of Contextual Valence Shifters to help determine the semantic orientation of emotive expressions. The method is used as a background procedure during users' conversations with two Japanese-speaking conversational agents. To verify the usability of the method, the users' attitudes to the conversational agents determined automatically during the conversations were compared to the results of a questionnaire taken after the conversations. The results provided by the system revealed similar tendencies to the questionnaire. Therefore we can say that the method is applicable as a means of evaluation for Japanese-speaking conversational agents.
• Contextual affect analysis: A system for verification of emotion appropriateness supported with Contextual Valence Shifters
  Michal Ptaszynski; Pawel Dybala; Wenhan Shi; Rafal Rzepka; Kenji Araki
  International Journal of Biometrics, 2, 2, 134, 154, Feb. 2010, [Peer-reviewed]
  English, Scientific journal
• Machine Moral Development: Moral Reasoning Agent Based on Wisdom of Web-Crowd and Emotions
  Radoslaw Komuda; Michal Ptaszynski; Yoshio Momouchi; Rafal Rzepka; Kenji Arak
  International Journal of Computational Linguistics Research, 1, 3, 155, 163, DLINE, 2010, [Peer-reviewed]
  English, Scientific journal, We begin this paper by putting forward the topic of human conscience as a metaphysical experience. We present our ongoing research on moral reasoning categories and make first attempts to verify their usefulness in creating an agent with a dynamic algorithm for moral reasoning. Our approach assumes creating such an agent basing on two factors, the idea of wisdom of web-crowd and emotion-buttressed reasoning. We present a novel approach to the idea of ethics. Instead of the usual non-cognitive one we propose a model with computational structure and discuss applicability of this approach. Finally, we present some of the first results of a preliminary experiment performed to prove our approach.
• In the Service of Online Order : Tackling Cyber-Bullying with Machine Learning and Affect Analysis
  Michal Ptaszynski; Pawel Dybala; Tatsuaki Matsuba; Fumito Masui; Rafal Rzepka; Kenji Araki; Yoshio Momouchi
  International Journal of Computational Linguistics Research, 1, 3, 135, 163, DLINE, 2010, [Peer-reviewed]
  English, Scientific journal, One of the burning problems lately in Japan has been cyber-bullying, or slandering and bullying people online. The problem has been especially noticed on unofficial Web sites of Japanese schools. Volunteers consisting of school personnel and PTA (Parent-Teacher Association) members have started Online Patrol to spot malicious contents within Web forums and blogs. In practise, Online Patrol assumes reading through the whole Web contents, which is a task difficult to perform manually. With this paper we introduce a research intended to help PTA members perform Online Patrol more efficiently. We aim to develop a set of tools that can automatically detect malicious entries and report them to PTA members. First, we collected cyber-bullying data from unofficial school Web sites. Then we performed analysis of this data in two ways. Firstly, we analysed the entries with a multifaceted affect analysis system in order to find distinctive features for cyber-bullying and apply them to a machine learning classifier. Secondly, we applied a SVM based machine learning method to train a classifier for detection of cyber-bullying. The system was able to classify cyber-bullying entries with 88.2% of balanced F-score.
• When Your Users Are Not Serious Using Web-based Associations, Affect and Humor for Generating Appropriate Utterances for Inappropriate Input
  Rafal Rzepka; Shinsuke Higuchi; Michal Ptaszynski; Pawel Dybala; Kenji Araki
  Transactions of the Japanese Society for Artificial Intelligence, 25, 1, 114, 121, The Japanese Society for Artificial Intelligence, 2010, [Peer-reviewed], [Lead author]
  English, Scientific journal, In this paper we propose a method for generating simple but semantically correct replies to user inputs which are not related to a given task of a task-oriented information kiosk or any other natural language interface placed in a public place. We describe our method for retrieving meaningful associations from the Web and adding modality based on chatlog data. After showing the results of the evaluation experiments, we introduce an implementation of an affect analysis algorithm and pun generator to increase users' satisfaction level.
• Forgetful and emotional: recent progress in development of dynamic memory management system for conversational agents
  Michal Ptaszynski; Pawel Dybala; Rafal Rzepka; Kenji Araki
  Proceedings of the 1st International Symposium on Linguistic and Cognitive Approaches to Dialog Agents - A Symposium at the AISB 2010 Convention, 32, 38, 2010, [Peer-reviewed]
  International conference proceedings
• Chain of Events: Multi-stage Approach to Humor and Emotions in HCI
  Pawel Dybala; Michal Ptaszynski; Rafal Rzepka; Kenji Araki
  Proceedings of the 1st International Symposium on Linguistic and Cognitive Approaches to Dialog Agents - A Symposium at the AISB 2010 Convention, 53, 58, 2010, [Peer-reviewed]
  International conference proceedings
• Computer System That Likes Chess
  Pawel Dybala; Rafal Rzepka; Kenji Araki
  Proceedings of the Linguistic And Cognitive Approaches To Dialog Agents Symposium, 42, 44, 2010, [Peer-reviewed]
  International conference proceedings
• An idea of a web-crowd based moral reasoning agent
  Radoslaw Komuda; Michal Ptaszynski; Rafal Rzepka; Kenji Araki
  Proceedings of the 1st International Symposium on Linguistic and Cognitive Approaches to Dialog Agents - A Symposium at the AISB 2010 Convention, 17, 19, 2010, [Peer-reviewed]
  International conference proceedings
• Machine learning and affect analysis against cyber-bullying
  Michal Ptaszynski; Pawel Dybala; Tatsuaki Matsuba; Fumito Masui; Rafal Rzepka; Kenji Araki
  Proceedings of the Linguistic And Cognitive Approaches To Dialog Agents Symposium, 7, 16, 2010, [Peer-reviewed]
  International conference proceedings
• Automatic Haiku Generation Using Web search and Japanese Weblogs as Input
  Takuya Emori; Rafal Rzepka; Kenji Araki
  Proceedings of the International Workshop on Modern Science and Technology (IWMST 2010), 30, 32, 2010, [Peer-reviewed]
  International conference proceedings
• A Multi-Input Approach for a System for Semantically Relevant Art Creation
  Tyson Roberts; Rafal Rzepka; Kenji Araki
  Proceedings of the International Workshop on Modern Science and Technology (IWMST 2010), 38, 39, 2010, [Peer-reviewed]
  International conference proceedings
• Acquisition of Japanese Word Descriptions from World Wide Web
  Fumito Masui; Rafal Rzepka; Yasutomo Kimura; Junichi Fukumoto; Kenji Araki
  Proceedings of the International Workshop on Modern Science and Technology (IWMST 2010), 153, 158, 2010, [Peer-reviewed]
  International conference proceedings
• Ubiquitous User Interfaces Framework Using Augmented Reality as a Platform
  Svetoslav Dankov; Rafal Rzepka; Kenji Araki
  Proceedings of the International Workshop on Modern Science and Technology (IWMST 2010), 187, 191, 2010, [Peer-reviewed]
  International conference proceedings
• Co-Mix Project: Towards Artificial Tutors Using Code Mixing as Foreign Language Teaching Method
  Michal Mazur; Rafal Rzepka; Kenji Araki
  Proceedings of the International Workshop on Modern Science and Technology (IWMST 2010), 196, 201, 2010, [Peer-reviewed]
  International conference proceedings
• Social Factors in Kohlberg's Theory of Stages of Moral Development - the Utility of (Web) Crowd Wisdom for Machine Ethics Research
  Radoslaw Komuda; Rafal Rzepka; Kenji Araki
  Proceedings of The 5th International Conference on Applied Ethics, 34, 34, 2010, [Peer-reviewed]
  International conference proceedings
• Multi-humoroid: joking system that reacts with humor to humans' bad moods.
  Pawel Dybala,Michal Ptaszynski; Rafal Rzepka; Kenji Araki
  9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), Toronto, Canada, May 10-14, 2010, Volume 1-3, 1433, 1434, IFAAMAS, 2010, [Peer-reviewed]
  International conference proceedings
• A Japanese Natural Language Toolset Implementation for ConceptNet.
  Tyson Michael Roberts; Rafal Rzepka; Kenji Araki
  Commonsense Knowledge, Papers from the 2010 AAAI Fall Symposium, Arlington, Virginia, USA, November 11-13, 2010, 88, 89, AAAI, 2010, [Peer-reviewed]
  International conference proceedings
• CAO: A Fully Automatic Emoticon Analysis System
  Michal Ptaszynski; Jacek Maciejewski; Pawel Dybala; Rafal Rzepka; Kenji Araki
  PROCEEDINGS OF THE TWENTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-10), 1026, 1032, 2010, [Peer-reviewed]
  English, International conference proceedings
• CAO: A Fully Automatic Emoticon Analysis System Based on Theory of Kinesics
  Michal Ptaszynski; Jacek Maciejewski; Pawel Dybala; Rafal Rzepka; Kenji Araki
  IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 1, 1, 46, 59, Jan. 2010, [Peer-reviewed]
  English, Scientific journal
• Multiagent system for joke generation: Humor and emotions combined in human-agent conversation
  Pawel Dybala; Michal Ptaszynski; Jacek Maciejewski; Mizuki Takahashi; Rafal Rzepka; Kenji Araki
  JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, 2, 1, 31, 48, 2010, [Peer-reviewed]
  English, Scientific journal
• Quantitative features of multifractal subtleties in time series
  Rafal Rzepka
  ArXiv, 2010
  Scientific journal
• Global gauge anomalies in two-dimensional bosonic sigma models
  Rafal Rzepka
  ArXiv, 2010
  Scientific journal
• The foreign exchange market: return distributions, multifractality, anomalous multifractality and Epps effect
  Rafal Rzepka
  ArXiv, 2010
  Scientific journal
• An Automatic Evaluation Method for Conversational Agents Based on Affect-as-Information Theory
  Michal Ptaszynski; Pawel Dybala; Wenhan Shi; Rafal Rzepka; Kenji Araki
  知能と情報（日本知能情報ファジィ学会誌）特集 感情, 2, 2, 134, 155, 2010, [Peer-reviewed]
  Scientific journal
• Towards Socialized Machines: Emotions and Sense of Humour in Conversational Agents
  Michal Ptaszynski; Pawel Dybala; Shinsuke Higuhi; Wenhan Shi; Rafal Rzepka; Kenji Araki
  Web Intelligence and Intelligent Agents, 9, 2010, [Peer-reviewed]
  In book
• Extending the Chain: Humor and Emotions in Human Computer Interaction
  Pawel Dybala; Michal Ptaszynski; Rafal Rzepka; Kenji Araki
  International Journal of Computational Linguistics Research, 1, 3, 116, 125, DLINE, 2010, [Peer-reviewed]
  English, Scientific journal, The issues of humor and emotions are strongly related to each other. Their role is recently being appreciated by HCI researchers, and numerous scientific ventures are launched to investigate this subject from various perspectives. Among others, research projects exist focusing on implementing humor generators into conversational systems, in order to facilitate their interaction with humans. In such research, evaluation experiments are often focused, if not limited to, examining users' emotive reactions towards systems (both during and after the interactions). However, in HHI (Human- Human Interaction),humor is often used, be it intentionally or subconsciously, in reaction to interlocutor's emotions, in order to change them from negative to positive, as, for instance, anxiety into joy, or at least reduce the degree of negativity. This was showed in numerous research, mostly in the field of psychology. Thus, it can be said that in HHI, both emotions preceding and following humorous acts are taken into consideration, while most research in HCI focus only on the latter, thus representing what we call a "twostage approach" to humor and emotions. In this paper we first describe current state of the art in the field of research on humor and emotions, propose to distinguish two types of approach to relation between these two issues, next we compare existing research on this matter in HHI (psychology) and HCI, and describe our research progress. In our project, launched to construct a humor-equipped conversational system, we developed a system, which 1) analyses users' emotions during the interaction, 2) uses humor as a reaction to users' particular emotional states, and 3) analyses their reactions to it. Thus, the system represents what we defined as a "multi-stage approach" to humor and emotions, taking into consideration users' emotive states both before and after humorous stimuli. We present the results of experiments conducted to evaluate our system's performance, and propose an idea of a user-adapting humor sense model, in which the humor-emotion chain can be extended even further.
• On the Need for Context Processing in Affective Computing
  Ptaszynski Michal; Rzepka Rafal; Araki Kenji
  Proceedings of the Fuzzy System Symposium, 26, 212, 212, Japan Society for Fuzzy Theory and Intelligent Informatics, 2010
  Japanese, Research on Emotions within Artificial Intelligence and related fields has flourished rapidly through several years. Unfortunately, in much research the contextuality of emotions is disregarded. In this paper we argue, that recognizing emotions without recognizing their context is incomplete and cannot be sufficient for real-world applications. We present logical underpinnings of this claim and describe some consequences of disregarding the context of emotions. We also present our approach, in which this context is considered and describe some of the first experiments performed in this matter. The paper is finalized with a discussion on future development and applications of context processing within Affective Computing.
• When Your Users Are Not Serious:Using Web-based Associations, Affect and Humor for Generating Appropriate Utterances for Inappropriate Input
  Rzepka Rafal; Higuchi Shinsuke; Ptaszynski Michal; Dybala Pawel; Araki Kenji
  Information and Media Technologies, 5, 1, 216, 223, Information and Media Technologies Editorial Board, 2010, [Peer-reviewed], [Lead author]
  English, Scientific journal, In this paper we propose a method for generating simple but semantically correct replies to user inputs which are not related to a given task of a task-oriented information kiosk or any other natural language interface placed in a public place. We describe our method for retrieving meaningful associations from the Web and adding modality based on chatlog data. After showing the results of the evaluation experiments, we introduce an implementation of an affect analysis algorithm and pun generator to increase users' satisfaction level.
• Serious processing for frivolous purpose - A chatbot using web-mining supported affect analysis and pun generation
  Rafal Rzepka; Wenhan Shi; Michal Ptaszynski; Pawel Dybala; Shinsuke Higuchi; Kenji Araki
  International Conference on Intelligent User Interfaces, Proceedings IUI, 487, 488, ACM, 2009, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Humorized Computational Intelligence towards User-Adapted Systems with a Sense of Humor
  Pawel Dybala; Michal Ptaszynski; Rafal Rzepka; Kenji Araki
  APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS, 5484, 452, 461, 2009, [Peer-reviewed]
  English, International conference proceedings
• Artificial Self Based on Collective Mind - Using Common Sense and Emotions Web-Mining for Ethically Correct Behaviors
  Rafal Rzepka; Kenji Araki
  Proceedings of Toward a Science of Consciousness TCS 2009 - Investigating Inner Experience Brain, Mind and Technology, 75, 2009, [Peer-reviewed], [Lead author]
  International conference proceedings
• Shifting Valence Helps Verify Contextual Appropriateness of Emotions
  Michal Ptaszynski; Pawel Dybala; Wenhan Shi; Rafal Rzepka; Kenji Araki
  Proceedings of Workshop on Automated Reasoning about Context and Ontology Evolution (ARCOE-09), 19, 21, 2009, [Peer-reviewed]
  International conference proceedings
• Subjective, But Not Worthless - Non-linguistic Feature of Chatterbot Evaluations
  Pawel Dybala; Michal Ptaszynski; Rafal Rzepka; Kenji Araki
  Proceedings of Workshop on Knowledge and Reasoning in Practical Dialogue Systems (KRPDS 2009), 87, 92, 2009, [Peer-reviewed]
  International conference proceedings
• Conscience of Blogs: Verifying Contextual Appropriateness of Emotions Basing on Blog Contents
  Michal Ptaszynski; Pawel Dybala; Wenhan Shi; Rafal Rzepka; Kenji Arak
  Proceedings of the International Conference on Computational Intelligence (CI 2009), 1, 6, 2009, [Peer-reviewed]
  International conference proceedings
• Getting closer to human level - human-likeness and its relation to humor in non-task oriented dialogue systems
  Pawel Dybala; Michal Ptaszynski; Rafal Rzepka; Kenji Araki
  Proceedings of the International Conference on Computational Intelligence (CI 2009), 7, 14, 2009, [Peer-reviewed]
  International conference proceedings
• Teaching a Humanoid Robot through Physical Feedback: So Easy Even a Five Year Old Could Use It
  Dai Hasegawa; Rafal Rzepka; Kenji Araki
  Proceedings of the 19th Intelligent System Symposium (FAN2009) and the 1st International Workshop on Aware Computing (IWAC2009), 26, 2009, [Peer-reviewed]
  International conference proceedings
• Determining the Output of Dependency Parser by Extending Grammar Rules with Weights
  Jacek Maciejewski; Rafał Rzepka; Kenji Araki
  Proceedings of PACLING 2009, 121, 124, 2009, [Peer-reviewed]
  International conference proceedings
• Crossing Word Borders - Towards Phrasal Pun Generation Engine
  Pawel Dybala; Michal Ptaszynski; Rafal Rzepka; Kenji Araki
  Proceedings of PACLING 2009, 242, 247, 2009, [Peer-reviewed]
  International conference proceedings
• Affecting Corpora:Experiments with Automatic Affect Annotation System ? A Case Study of the 2channel Forum ?
  Michal Ptaszynski; Pawel Dybala; Rafal Rzepka; Kenji Araki
  Proceedings of PACLING 2009, 223, 226, 2009, [Peer-reviewed]
  International conference proceedings
• Activating humans with humor - A dialogue system that users want to interact with
  Pawel Dybala; Michal Ptaszynski; Rafal Rzepka; Kenji Araki
  IEICE Transactions on Information and Systems, E92-D, 12, 2394, 2401, 2009, [Peer-reviewed]
  English, Scientific journal
• Automatically Choosing Appropriate Gestures for Jokes.
  Dai Hasegawa; Jonas Sjöbergh; Rafal Rzepka; Kenji Araki
  Proceedings of the Fifth Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE 2009, October 14-16, 2009, Stanford, California, USA, The AAAI Press, 2009, [Peer-reviewed]
  International conference proceedings
• A Method for Acquiring Body Movement Verbs for a Humanoid Robot through Physical Interaction with Humans.
  Dai Hasegawa; Rafal Rzepka; Kenji Araki
  Proceedings of the Fifth Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE 2009, October 14-16, 2009, Stanford, California, USA, The AAAI Press, 2009, [Peer-reviewed]
  International conference proceedings
• Bacteria Lingualis in The Knowledge Soup - A Webcrawler with Affect Recognizer for Acquiring Artificial Empathy.
  Rafal Rzepka; Radoslaw Komuda; Kenji Araki
  Biologically Inspired Cognitive Architectures, Papers from the 2009 AAAI Fall Symposium, Arlington, Virginia, USA, November 5-7, 2009, 123, AAAI, 2009, [Peer-reviewed], [Lead author]
  International conference proceedings
• A Pragmatic Approach to Implementation of Emotional Intelligence in Machines.
  Michal Ptaszynski; Rafal Rzepka; Kenji Araki
  Biologically Inspired Cognitive Architectures, Papers from the 2009 AAAI Fall Symposium, Arlington, Virginia, USA, November 5-7, 2009, FS-09-01, 101, 102, AAAI, 2009, [Peer-reviewed]
  International conference proceedings
• Connectives Acquisition in a Humanoid Robot Based on an Inductive Learning Language Acquisition Model
  Hasegawa Dai; Rafal Rzepka; Kenji Araki
  Vienna, Austria : Humanoid Robots, 65, 82, I-Tech Education and Publishing, 2009, [Peer-reviewed]
  In book
• A System for Affect Analysis of Utterances in Japanese Supported with Web Mining
  PTASZYNSKI Michal; DYBALA Pawel; SHI Wenhan; RZEPKA Rafal; ARAKI Kenji
  Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 21, 2, 30, 49, Japan Society for Fuzzy Theory and Intelligent Informatics, 2009, [Peer-reviewed]
  English, Scientific journal, We propose a method for affect analysis of textual input in Japanese supported with Web mining. The method is based on a pragmatic reasoning that emotional states of a speaker are conveyed by emotional expressions used in emotive utterances. It means that if an emotive expression is used in a sentence in a context described as emotive, the emotion conveyed in the text is revealed by the used emotive expression. The system ML-Ask (Emotive Elements / Expressions Analysis System) is constructed on the basis of this idea. An evaluation of the system is performed in which two evaluation methods are compared. To choose the most objective evaluation method we compare the most popular method in the field and a method proposed by us. The proposed evaluation method was shown to be more objective and revealed the strong and weak points of the system in detail. In the evaluation experiment ML-Ask reached human level in recognizing the general emotiveness of an utterance (0.83 balanced F-score) and 63% of human level in recognizing the specific types of emotions. We support the system with a Web mining technique to improve the performance of emotional state types extraction. In the Web mining technique emotive associations are extracted from the Web using co-occurrences of emotive expressions with morphemes of causality. The Web mining technique improved the performance of the emotional states types extraction to 85% of human performance.
• Humoroids: conversational agents that induce positive emotions with humor.
  Pawel Dybala; Michal Ptaszynski; Rafal Rzepka; Kenji Araki
  8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 1171, 1172, IFAAMAS, 2009, [Peer-reviewed]
  International conference proceedings
• Towards Context Aware Emotional Intelligence in Machines: Computing Contextual Appropriateness of Affective States
  Michal Ptaszynski; Pawel Dybala; Wenhan Shi; Rafal Rzepka; Kenji Araki
  21ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-09), PROCEEDINGS, 1469, 1474, 2009, [Peer-reviewed]
  English, International conference proceedings
• Are Body Movements Really Important for Joke Systems? Comparing Different Styles of Joke Performance
  Dai Hasegawa; Jonas Sjobergh; Rafal Rzepka; Kenji Araki
  Proceedings of the First International Workshop on Laughter in Interaction and Body Movement (LIBM'08), 8, 13, 2008, [Peer-reviewed]
  International conference proceedings
• A Casual Conversation System Using Modality and Word Associations
  Shinsuke Higuchi; Rafal Rzepka; Kenji Araki
  Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 382, 390, ACL, 2008, [Peer-reviewed]
  International conference proceedings
• Straight Thinking Straight From The Net - On The Web-Based Intelligent Talking Toy Development
  Rafal Rzepka; Shinsuke Higuchi; Michal Ptaszynski; Kenji Araki
  The Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC'08), 2171, 2175, 2008, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Disentangling emotions from the Web Internet in the service of affect analysis
  Michal Ptaszynski; Pawel Dybala; Wenhan Shi; Rafal Rzepka; Kenji Araki
  Proceedings of The Second International Conference on Kansei Engineering & Affective Systems,, 51, 56, 2008, [Peer-reviewed]
  International conference proceedings
• Affect-as-Information Approach to a Sentiment Analysis Based Evaluation of Conversational Agents
  Michal Ptaszynski; Pawel Dybala; Shinsuke Higuchi; Rafal Rzepka; Kenji Araki
  2008 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING CONTROL & AUTOMATION, VOLS 1 AND 2, 901, 906, 2008, [Peer-reviewed]
  English, International conference proceedings
• Affect as information about users' attitudes to conversational agents
  Michal Ptaszynski; Pawel Dybala; Shinsuke Higuchi; Rafal Rzepka; Kenji Araki
  Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008, 495, 500, IEEE Computer Society, 2008, [Peer-reviewed]
  English, International conference proceedings
• How to find love in the Internet? Applying Web mining to affect recognition from textual input
  Michal Ptaszynski; Pawel Dybala; Wenhan Shi; Rafal Rzepka; Kenji Araki
  Proceedings of the 2008 Empirical Methods for Asian Languages Processing Workshop (EMALP'08) at The Tenth Pacific Rim International Conference on Artificial Intelligence (PRICAI'08), 67, 79, 2008, [Peer-reviewed]
  International conference proceedings
• Bundle Gerbes for Orientifold Sigma Models
  Rafal Rzepka
  ArXiv, 2008
  Scientific journal
• Gerbe-holonomy for surfaces with defect networks
  Rafal Rzepka
  ArXiv, 2008
  Scientific journal
• Stages of Ethical Development in Artificial General Intelligence Systems
  Rafal Rzepka
  Lecture Notes in Computer Science, 2008
  Scientific journal
• Humor Prevails! Implementing a Joke Generator into a Conversational System
  Pawel Dybala; Michal Ptaszynski; Shinsuke Higuchi; Rafal Rzepka; Kenji Araki
  Springer-Verlag Lecture Notes in Artificial Intelligence (LNAI), 5360, 214, 225, 2008, [Peer-reviewed]
  English, International conference proceedings
• Toward Automatic Support For Japanese Lay Judge System - Processing Precedent Factors For Sentencing Trends Discovery
  Rafal Rzepka; Masafumi Matsuhara; Yasutomo Kimura; Keiichi Takamaru; Hideyuki Shibuki; Koji Murakami
  Proceedings of NTCIR-7 Workshop Meeting, National Institute of Informatics (NII), 2008, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Proposal of Precedents Processing System for Supporting Japanese Lay Judges
  Rafal Rzepka
  Proceedings of the Second International Symposium on Universal Communication, 358, 362, 2008, [Peer-reviewed], [Lead author]
  English, Scientific journal
• How We Did How, What and Why ? HOMIO’s Participation in QAC4 of NTCIR-6
  Yasutomo Kimura; Kenji Ishida; Hirotaka Imaoka; Fumito Masui; Keisuke Kameyama; Rafal Rzepka; Kenji Araki
  Proceedings of the 6th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-Lingual Information Access(NTCIR), 483, 486, National Institute of Informatics (NII), 2007, [Peer-reviewed]
  International conference proceedings
• Consciousness of crowds - The internet as knowledge source of human conscious behavior and machine self-understanding
  Rafal Rzepka; Kenji Araki
  AAAI Fall Symposium - Technical Report, FS-07-01, 127, 128, AAAI Press, 2007
  English, International conference proceedings
• Non-commutative Weitzenboeck geometry, gerbe modules, and WZW branes
  Rafal Rzepka
  ArXiv, 2007
  Scientific journal
• WZW orientifolds and finite group cohomology
  Rafal Rzepka
  ArXiv, 2007
  Scientific journal
• Evaluation of connectives acquisition in a humanoid robot using direct physical feedback
  Rafal Rzepka
  Lecture Notes in Computer Science, 4830 LNAI, 664, 668, 2007, [Peer-reviewed]
  Scientific journal
• Common Sense from the Web? Naturalness of Everyday Knowledge Retrieved from WWW
  Rafal Rzepka
  Journal of Advanced Computational Intelligence and Intelligent Informatics, 10, 6, 868, 875, 20 Nov. 2006, [Peer-reviewed], [Lead author]
  Scientific journal
• What About Tests In Smart Environments? On Possible Problems With Common Sense In Ambient Intelligence
  Rafal Rzepka; Kenji Araki
  Proceedings of 2nd IJCAI Workshop on Artificial Intelligence Techniques for Ambient Intelligence, 92, 96, 2006, [Peer-reviewed], [Lead author]
  International conference proceedings
• Brane Bulk Couplings and Condensation from REA Fusion
  Rafal Rzepka
  ArXiv, 2006
  Scientific journal
• Commonsense Retrieval as an Aid for Easier Conversation-based Language Acquisition
  Rafal Rzepka; Kenji Araki
  Proceedings of Workshop on Computational Modeling of Lexical Acquisition, Jul. 2005, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Naturalness of an Utterance Based on the Automatically Retrieved Commonsense
  Rafal Rzepka; Yali Ge; Kenji Araki
  Proceedings of IJCAI 2005 - Nineteenth International Joint Conference on Artificial Intelligence, paper 490, 1696, 1697, 2005, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Automatic scripts retrieval and its possibilities for social sciences support applications
  Yali Ge; Rafal Rzepka; Kenji Araki
  Intelligent Information Processing and Web Mining, Proceedings, 51, 58, 2005, [Peer-reviewed]
  English, International conference proceedings
• What Statistics Could Do for Ethics? - The Idea of Common Sense Processing Based Safety Valve
  Rafal Rzepka; Kenji Araki
  Machine Ethics, Papers from AAAI Fall Symposium, Technical Report FS-05-06, 85, 87, 2005, [Peer-reviewed], [Lead author]
  International conference proceedings
• Support for Internet-based commonsense processing - Causal knowledge discovery using Japanese "If" forms
  Yali Ge; Rafal Rzepka; Kenji Araki
  Proceedings of KES'2005 9th International Conference on Knowledge-Based & Intelligent Information & Engineering Systems,Springer-Verlag LNAI, 3682, 950, 956, 2005, [Peer-reviewed]
  English, International conference proceedings
• Three Systems and One Verifier - HOKUM's Participation in QAC3 of NTCIR -
  Yasutomo Kimura; Kenji Ishida; Hirotaka Imaoka; Fumito Masui; Marcin Skowron; Rafal Rzepka; Kenji Araki
  Proceedings of NTCIR-5 Workshop Meeting, 402, 408, National Institute of Informatics (NII), 2005, [Peer-reviewed]
  International conference proceedings
• Twisted WZW Branes from Twisted REA's
  Rafal Rzepka
  ArXiv, 2005
  Scientific journal
• Automatic Scripts Retrieval and Its Possibilities for Soft Science Support Applications
  Yali Ge; Rafal Rzepka; Kenji Araki
  Intelligent Information Systems 2005 - New Trends in Intelligent Information Processing and Web Mining Conference Proceedings, 3682, 2005, 950, 956, 2005, [Peer-reviewed]
  Scientific journal
• Quantum Matrix Models for Simple Current Orbifolds
  Rafal Rzepka
  ArXiv, 2004
  Scientific journal
• Toward Fully Automatic Categorization for Commonsense Processing
  Rafal Rzepka; Toshihiko Itoh; Kenji Araki
  Proceedings of the Language Sense on Computer 2004 - Part of the Eight Pacific Rim International Conference on Artificial Intelligence, 40, 46, 2004, [Peer-reviewed], [Lead author]
  International conference proceedings
• Ideas for the Web-Based Affective Processing
  Rafal Rzepka; Kenji Araki
  Journal of Systemics, Cybernetics and Informatics, 2, 3, 50, 57, 2004, [Peer-reviewed], [Lead author]
  English, Scientific journal
• Emotional Information Retrieval for a Dialogue Agent
  Rafal Rzepka; Kenji Araki; Koji Tochinai
  An International Journal of Computing and Informatics Informatica, 27, 2, 205, 212, 2003, [Peer-reviewed], [Lead author]
  Scientific journal, Rzepka, R., Araki, K., Tochinai, K.: "Emotional Information Retrieval for a Dialogue Agent" in "Perception and Emotions Based Reasoning" - Special Issue of "Informatica" - An International Journal of Computing and Informatics, Volume 27, Number 2: 205-212 (2003)*
• Bacterium lingualis - The web-based commonsensical knowledge discovery method
  Rafal Rzepka
  Discovery Science, Proceedings, 2843, 460, 467, 2003, [Peer-reviewed], [Lead author]
  Scientific journal
• Is It Out There? The Perspectives of Emotional Information Retrieval from the Internet Resources
  Rzepka Rafal; Kenji Araki; Koji Tochinai
  Proceedings of the IASTED Artificial Intelligence and Applications Conference, 22, 27, Sep. 2002, [Peer-reviewed], [Lead author]
  English, International conference proceedings
• Computational Intelligence: International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part II
  Rafal Rzepka
  Scientific journal
• Artificial General Intelligence - 10th International Conference, {AGI} 2017, Melbourne, VIC, Australia, August 15-18, 2017, Proceedings
  Rafal Rzepka
  Lecture Notes in Computer Science
  Scientific journal

• Toward the Emergent Machine Ethics
  山川 宏; 市瀬 龍太郎; 遠藤 太一郎; 加藤 洋平; ジェプカ ラファウ; 林 祐輔, 人工知能学会第二種研究会資料 汎用人工知能研究会 SIG-AGI-030-05, Aug. 2025
  Japanese
• JETHICS: Japanese Ethics Understanding Evaluation Dataset
  Masashi Takeshita; Rafal Rzepka, CoRR, abs/2506.16187, 19 Jun. 2025
  In this work, we propose JETHICS, a Japanese dataset for evaluating ethics
  understanding of AI models. JETHICS contains 78K examples and is built by
  following the construction methods of the existing English ETHICS dataset. It
  includes four categories based normative theories and concepts from ethics and
  political philosophy; and one representing commonsense morality. Our evaluation
  experiments on non-proprietary large language models (LLMs) and on GPT-4o
  reveal that even GPT-4o achieves only an average score of about 0.7, while the
  best-performing Japanese LLM attains around 0.5, indicating a relatively large
  room for improvement in current LLMs.
• Toward Safer World and Agent Modeling with Natural Semantic Metalanguage-based Controlled Cognition
  Rafal Rzepka, Proceedings of the 39th Annual Conference of The Japanese Society for Artificial Intelligence, 2E4-OS-4a-04, May 2025
  English, Summary national conference
• 算術タスクを用いた文脈内学習による外挿能力の分析
  進藤 稜真; 竹下 昌志; ジェプカ ラファウ; 伊藤 敏彦, 言語処理学会第31回年次大会(NLP2025)の予稿集 P2-21, Mar. 2025
  Japanese, Summary national conference
• LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs
  LLM-jp; :; Akiko Aizawa; Eiji Aramaki; Bowen Chen; Fei Cheng; Hiroyuki Deguchi; Rintaro Enomoto; Kazuki Fujii; Kensuke Fukumoto; Takuya Fukushima; Namgi Han; Yuto Harada; Chikara Hashimoto; Tatsuya Hiraoka; Shohei Hisada; Sosuke Hosokawa; Lu Jie; Keisuke Kamata; Teruhito Kanazawa; Hiroki Kanezashi; Hiroshi Kataoka; Satoru Katsumata; Daisuke Kawahara; Seiya Kawano; Atsushi Keyaki; Keisuke Kiryu; Hirokazu Kiyomaru; Takashi Kodama; Takahiro Kubo; Yohei Kuga; Ryoma Kumon; Shuhei Kurita; Sadao Kurohashi; Conglong Li; Taiki Maekawa; Hiroshi Matsuda; Yusuke Miyao; Kentaro Mizuki; Sakae Mizuki; Yugo Murawaki; Akim Mousterou; Ryo Nakamura; Taishi Nakamura; Kouta Nakayama; Tomoka Nakazato; Takuro Niitsuma; Jiro Nishitoba; Yusuke Oda; Hayato Ogawa; Takumi Okamoto; Naoaki Okazaki; Yohei Oseki; Shintaro Ozaki; Koki Ryu; Rafal Rzepka; Keisuke Sakaguchi; Shota Sasaki; Satoshi Sekine; Kohei Suda; Saku Sugawara; Issa Sugiura; Hiroaki Sugiyama; Hisami Suzuki; Jun Suzuki; Toyotaro Suzumura; Kensuke Tachibana; Yu Takagi; Kyosuke Takami; Koichi Takeda; Masashi Takeshita; Masahiro Tanaka; Kenjiro Taura; Arseny Tolmachev; Nobuhiro Ueda; Zhen Wan; Shuntaro Yada; Sakiko Yahata; Yuya Yamamoto; Yusuke Yamauchi; Hitomi Yanaka; Rio Yokota; Koichiro Yoshino, CoRR, abs/2407.03963, 04 Jul. 2024
  This paper introduces LLM-jp, a cross-organizational project for the research
  and development of Japanese large language models (LLMs). LLM-jp aims to
  develop open-source and strong Japanese LLMs, and as of this writing, more than
  1,500 participants from academia and industry are working together for this
  purpose. This paper presents the background of the establishment of LLM-jp,
  summaries of its activities, and technical reports on the LLMs developed by
  LLM-jp. For the latest activities, visit https://llm-jp.nii.ac.jp/en/.
• DanStoデータセットを用いた大規模言語モデルの否定理解の性能評価
  阿部有紗; ジェプカ・ラファウ; 荒木健治, 2024度人工知能学会全国大会, Jun. 2024
  Japanese, Summary national conference
• 常識知識グラフによる知識拡張プロンプトの有効性
  岡田憩; ジェプカ・ラファウ; 荒木健治, 2024度人工知能学会全国大会, Jun. 2024
  Japanese, Summary national conference
• ヒューリスティックと遺伝的アルゴリズムを用いた自動プロンプトチューニング手法
  進藤稜真; ジェプカラファウ; 竹下昌志; 荒木健治, 言語処理学会第30回年次大会(NLP2024), P9-8, Mar. 2024
  Japanese, Summary national conference
• 日本語徳倫理データセットの開発に向けて:英語データセットの翻訳と日本語データセットの比較
  竹下昌志; 連慎治; ジェプカラファウ; 荒木健治, 言語処理学会第30回年次大会(NLP2024), P3-26, Mar. 2024
  Japanese, Summary national conference
• DanSto - Japanese Dataset of Short Stories for Evaluating Context Understanding
  Rafal Rzepka; Kacper Dudzic; Arisa Abe; Kenji Araki, Technical Report of JSAI Special Interest Group for Artificial General Intelligence, SIG-AGI-026-06, Mar. 2024, [Lead author, Corresponding author]
  English, Technical report
• 質問応答データセットによる種差別バイアスの測定に向かって
  竹下昌志; ジェプカ・ラファウ; 荒木健治, 人工知能学会 第26回汎用人工知能研究会, Mar. 2024
  Japanese, Technical report
• Extracting Conceptual Relation Graphs for Solving Story Tasks
  岡田憩; RZEPKA Rafal; 伊藤敏彦, 電子情報通信学会技術研究報告(Web), 124, 173(NLC2024 1-18), 2024
• Influence of Person’s Names on Large Language Model Recommendations in Daily-Life Scenarios
  Huizhong Ji; Rafal Rzepka; Kenji Araki, Technical Reports of the Language And Understanding Symposia Series, 2023, 13, 11, 20, Dec. 2023
  English, Technical report
• Web-Based Five Senses Input Simulation Twenty Years Later - in the Era of LLMs
  Rafal Rzepka; Don Divin Anemeta; Kenji Araki, Technical Report of JSAI Special Interest Group for Artificial General Intelligence, SIG-AGI-025-07, Nov. 2023, [Lead author, Corresponding author]
  English, Technical report
• Towards Theory-based Moral AI: Moral AI with Aggregating Models Based on Normative Ethical Theory
  Masashi Takeshita; Rzepka Rafal; Kenji Araki, Proceedings of the Workshop on Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches (ETHAICS 2023) co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) Macao(ETHAICS@IJCAI), abs/2306.11432, 20 Jun. 2023
  Moral AI has been studied in the fields of philosophy and artificial
  intelligence. Although most existing studies are only theoretical, recent
  developments in AI have made it increasingly necessary to implement AI with
  morality. On the other hand, humans are under the moral uncertainty of not
  knowing what is morally right. In this paper, we implement the Maximizing
  Expected Choiceworthiness (MEC) algorithm, which aggregates outputs of models
  based on three normative theories of normative ethics to generate the most
  appropriate output. MEC is a method for making appropriate moral judgments
  under moral uncertainty. Our experimental results suggest that the output of
  MEC correlates to some extent with commonsense morality and that MEC can
  produce equally or more appropriate output than existing methods., CEUR-WS.org
• Linguistic analysis in diagnosing dementia and depression
  Mariusz Ziółko; Mariusz Ziółko; Napoleon Waszkiewicz; Wojciech Datka; Karolina Kozłowska; Michał Kucharski; Bartosz Ziółko; Rafał Rzepka; Karol Kamiński, JMIR Preprints, 24 May 2023
  BACKGROUND

  Neurodegenerative and mental disorders significantly affect the manner of speaking, syntax, semantics and specific habits of word choice. Linguistic analysis can detect these disorders.

  OBJECTIVE

  The aim of this study was to examine whether speech analysis can be useful for screening test in neurology and psychiatry, due to the limited number of techniques supporting medical diagnostics in these fields. There is a need for a fast, low-cost method for analysing speech samples provided over the phone or as transcripts over the Internet.

  METHODS

  Comparing lemma frequencies in the control group recordings with lemma frequencies in speech of people diagnosed with dementia or depression allowed us to select lemmas that appear too rarely or too frequently in the speech of people affected by disorders. Moreover, the ratio of the number of lemmas to the number of words is a very good indicator of dementia.

  RESULTS

  For neurodegenerative and mental disorders, linguistic analysis frequently results in a more effective diagnosis than analysis of acoustic features. Linguistic changes are easily detectable in dementia, and less noticeable in depressions. By comparing features of speech samples, it was possible to create a classifier which distinguishes one group from the other. We used linguistic analysis to build a system for providing screening tests. Two methods were used to diagnose dementia. The first method is based on the observation that statements made by people with dementia have lower vocabulary variations. The percentage of lemmas (in relation to the number of words) makes it possible to detect dementia states. The second diagnostic method is based on lemma probabilities. This method was also used in depression screening tests.

  CONCLUSIONS

  By knowing features of speech samples recorded by the subjects and the control group, it is possible to create a classifier which distinguishes one group of recordings from the other. Linguistic changes are easily detectable in dementia, and less noticeable in depression.

  CLINICALTRIAL

  Trial Registration CT03197363; https://clinicaltrials.gov

  , JMIR Publications Inc., English, Technical report
• 日本語知識グラフを用いた質問応答システムの構築とグラフサイズの影響の検証
  矢野一樹; ジェプカ ラファウ; 荒木健治, 情報処理学会 第255回自然言語処理研究会 NLC, Mar. 2023
  Japanese, Technical report
• JCommonsenseMorality: 常識道徳の理解度評価用日本語データセット
  竹下昌志; ジェプカラファウ; 荒木健治, 言語処理学会 第29回年次大会 発表論文集, D2-1, Mar. 2023
  Japanese, Technical report
• 補助文自動生成を用いたBERTによる日本語アスペクトベース感情分析におけるアスペクトカテゴリ検出の精度向上
  張懿陽; 竹下昌志; ジェプカラファウ; 荒木健治, 言語処理学会 第29回年次大会 発表論文集, A3-2, Mar. 2023
  Japanese, Technical report
• BERTモデルと補助文自動生成に基づいた日本語アスペクトベース感情分析の精度向上
  張 懿陽; ジェプカ・ラファウ; 荒木健治, 人工知能学会第2種研究会 ことば工学研究会資料, SIG-LSE-C302-3, Dec. 2022
  Japanese, Technical report
• Large Language Models - Sophisticated Autocomplete Tools or a Big Step Towards AGI?
  Rafal Rzepka, Third Wave of AGI Workshop panel at the 22th SIG-AGI Symposium, Nov. 2022, [Invited]
  Japanese, Others
• 辞書型感情分析システムの網羅性問題を解決するためのゼロショットテキスト分類モデルの導入とその精度検証
  池野 奏介; ジェプカ ラファウ; 荒木 健治, 令和4年度 電気・情報関係学会北海道支部連合大会, Oct. 2022
  Japanese, Summary national conference
• NLPモデルの性能の再現可能な測定に向けて：再現性の時間軸モデルと日本のNLP研究の再現性の簡易的調査
  竹下昌志; ジェプカラファウ; 荒木健治, 言語処理学会 第28回年次大会 発表論文集, A2-2, 28th, Mar. 2022
  Japanese, Summary national conference
• 文脈による危険度変化の予測のためのデータセット構築
  勝又友輝; 竹下昌志; ジェプカラファウ; 荒木健治, 言語処理学会 第28回年次大会 発表論文集, PH3-2, 28th, Mar. 2022
  Japanese, Summary national conference
• 日本語Wikipediaからの属性値抽出タスクにおけるクエリの有効性検証
  坂田将樹; 中山功太; 竹下昌志; ジェプカラファウ; 関根聡; 荒木健治, 言語処理学会 第28回年次大会 発表論文集, PH4-6, 28th, Mar. 2022
  Summary national conference
• 議論データ抽出における意見とKey Pointのスタンス分類を考慮したMatch Scoringの評価
  桝田大貴; 白藤大幹; ジェプカ・ラファウ; 荒木健治, 第12回言語獲得と理解研究会報告, Jan. 2022
  Introduction research institution
• Medical Publications Retrieval Model Considering Paper Structure and the Title Separately
  吉井瑞貴; 竹下昌志; RZEPKA Rafal; 荒木健治, 人工知能学会第2種研究会ことば工学研究会資料, 67th, Nov. 2021
  Japanese, Summary national conference
• 議論データ抽出におけるArgumentとKey Pointのスタンス分類からMatch Scoringまでの自動化に向けて
  人工知能学会第; 種研究会; ことば工学研究会資料; SIG-LSE, Nov. 2021
  Summary national conference
• Using BM25 to Identify Publications as Potential Sources of Evidence for Online Medical News Articles
  吉井瑞貴; 竹下昌志; RZEPKA Rafal; 荒木健治, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2021, Nov. 2021
  Japanese, Technical report
• Wikipedia記事の構造化における関連知識を含む質問の有効性検証
  坂田将樹; Rafal Rzepka; 荒木健治, YANS 2021, Aug. 2021
  Technical report
• 英語の言語モデルに内在する種差別的バイアスの分析
  竹下 昌志; ジェプカ ラファウ; 荒木 健治, 言語処理学会第２７回年次大会発表論文集, 27th, Mar. 2021
  Japanese
• Cost-Friendly Feature-based Approach for Paraphrase Identification
  Xiaodong Liu; Rzepka Rafal; Araki Kenji, 音声言語および自然言語処理シンポジウム, Dec. 2020
• Attempt to Analyze Differences in Gender Bias by Character Type in Japanese Word Embedding and to Mitigate the Bias
  竹下昌志; RZEPKA Rafal; 荒木健治, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2020, Nov. 2020
• Mapping arguments to key point: Match Scoring of arguments using sentence embedding and MoverScore without labelled data
  白藤大幹; Rafal Rzepka; 荒木健治, ARG Web インテリジェンスとインタラクション研究会第16回研究会予稿集, Oct. 2020
• Unsupervised summarization of arguments toward key point generation with Sentence-BERT-based method
  白藤大幹; Rafal Rzepka; 荒木健治, ARG Web インテリジェンスとインタラクション研究会第16回研究会予稿集, Oct. 2020
• Language Model-based Context Augmentation for World Knowledge Bases
  Rafal Rzepka; Sho Takishita; Kenji Araki, Proceedings The 34th Annual Conference of the Japanese Society for Artificial Intelligence, Jun. 2020, [Lead author]
• Bacteria Lingualis on BERToids - Concept Expansion for Cognitive Architectures
  Rafal Rzepka; Sho Takishita; Kenji Araki, Technical Report of JSAI Special Interest Group for Artificial General Intelligence, SIG-AGI-014-10, Feb. 2020, [Lead author]
• コーパス作成における専門性を考慮した作業者割当ての提案と化学分野での評価
  吉川和; 金子貴美; 岩倉友哉; 吉田宏章; 熊野康孝; 嶋田和孝; Rafal Rzepka; Patrycja Swieczkowska, 言語処理学会 第25回年次大会 発表論文集, B4-3, Mar. 2019
• 単語の分散表現を用いた日本語イベント連鎖の自動構築
  瀧下祥; Rafal Rzepka; 荒木健治, 言語処理学会第25回年次大会(NLP2019), Mar. 2019
  Japanese
• Unicorn Story Generation and Limits of Words ― On Perspectives of Automatic Tacit Knowledge Addition
  Rafal Rzepka; Sho Takishita; Kenji Araki, Technical Report of JSAI Special Interest Group for Artificial General Intelligence, SIG-AGI, Mar. 2019, [Lead author]
  English
• Retrieving Metaphorical Sentences from Japanese Literature Using Standard Text Classification Methods
  Mateusz Babieno; Sho Takishita; Rafal Rzepka; Kenji Araki, 人工知能学会第2種研究会 ことば工学研究会資料, SIG-LSE, Oct. 2018
  English
• Towards a Dialog System Supporting Determination of Sensitive Technologies
  Akihiko Obayashi; Rafal Rzepka, The 16th Annual Meeting of Japan Society for Intellectual Production, Jun. 2018, [Last author]
  Japanese
• Preliminary Analysis of Weibo Emojis for Sentiment Analysis of Chinese Social Media
  Da Li; Rafal Rzepka; Kenji Araki, Proceedings The 32th Annual Conference of the Japanese Society for Artificial Intelligence, 1J3, 04, Jun. 2018
  English
• First Trials with Culture-Dependent Moral Commonsense Acquisition
  Rafal Rzepka; Li Da; Kenji Araki, Proceedings The 32th Annual Conference of the Japanese Society for Artificial Intelligence, 1F2-OS, 5a-05, Jun. 2018, [Lead author]
  English
• 共起頻度と意味的特徴を用いた五感に関する知識の一般性評価手法
  三橋 奎太; ジェプカ・ラファウ; 荒木 健治, ARG Web インテリジェンスとインタラクション研究会第１１回研究会予稿集, 85, 90, Dec. 2017
  Japanese, Summary national conference
• Affect-as-Information Approach to a Sentiment Analysis Based Evaluation of Conversational Agents
  Ptaszynski, Michal; Dybala, Pawel; Higuchi, Shinsuke; Rzepka, Rafal; Araki, Kenji, Proceedings of the 2008 International Conference on Intelligent Agents, Web Technologies & Internet Commerce (IAWTIC'08), 901, 906, 16 Jan. 2017
  English
• 書籍レビューテキストから生成した評価軸とトピックモデルを用いたハイブリット推薦手法の有効性
  北原 將平; ジェプカ ラファウ; 荒木 健治, 情報処理学会第１６４回データベースシステム研究会予稿集, 2017-DBS-164, 4, 1, 6, Jan. 2017
  Japanese
• Influence of Emoticons and Adverbs on Affective Perception of Japanese Texts
  Rafal Rzepka; Urszula Jagla; Pawel Dybala; Kenji Araki, The 30th Annual Conference of the Japanese Society for Artificial IntelligenceThe 30th Annual Conference of the Japanese Society for Artificial Intelligence, 1K4-3H4-OS-17b-3, Jun. 2016, [Lead author]
  English, Summary national conference
• Study of Emoticon Selection Process for Future Emoticon Recommendation Systems
  Yuki Urabe; Rafal Rzepka; Kenji Araki, The 30th Annual Conference of the Japanese Society for Artificial Intelligence, 3H3-OS-17a-2,, 17a-2, Jun. 2016
  Japanese, Summary national conference
• Effectiveness of Topic Model for Review Texts in Hybrid Model Recommendation Method
  Shouhei Kitahara; Rafal Rzepka; Kenji Araki, The 30th Annual Conference of the Japanese Society for Artificial Intelligence, 1K4-OS-06a-4in1, Jun. 2016
  Japanese, Summary national conference
• Crime Detection in Text for a Better Moral Reasoning System
  KOMUDA Radoslaw; PTASZYNSKI Michal; RZEPKA Rafal; ARAKI Kenji, 日本認知科学会大会発表論文集(CD-ROM), 33rd, 2016
• Effectiveness of Sentencing Estimation System Using Word Chunks Frequencies Based Lexical Similarity of Judicial Decisions
  Tadashi Tanaka; Rafal Rzepka; Kenji Araki, Proceedings of the 50th Language Sense Engineering SIG conference, SIG-LSE-B502, SIG-LSE-B502-1, 1, 6, Dec. 2015
  ことば工学事務局, Japanese, Summary national conference
• Automatic Judgement of Praiseworthy Acts Using Emotional Expression and Semantic Categories
  Kohei Matsumoto; Rafal Rzepka; Kenji Araki, Proceedings of the 50th Language Sense Engineering SIG conference, SIG-LSE-B502, SIG-LSE-B502-3,, 17, 26, Dec. 2015
  ことば工学事務局, Japanese, Summary national conference
• Effectiveness of Haiku Seasonal Words for Season Estimation Algorithm
  伝住 颯夏; ジェプカ ラファウ; 荒木 健治, ことば工学研究会 : 人工知能学会第2種研究会ことば工学研究会資料, 49, 37, 42, 25 Sep. 2015
  ことば工学事務局, Japanese
• 書籍の季節推定手法における季語の有効性
  伝住 颯夏; ジェプカ ラファウ; 荒木 健治, 人工知能学会第2種研究会 ことば工学研究会資料, SIG-LSE-B501, 36, 41, Sep. 2015
  Japanese, Summary national conference
• Radiobots型対話システムの提案
  木村 泰知; ジェプカ ラファウ; 高丸 圭一, JSAI2015, 2L4-OS-07a-2, May 2015
  Japanese, Summary national conference
• Extracting ConceptNet Knowledge Triplets from Japanese Wikipedia
  Krawczyk Marek; Rafal Rzepka; Kenji Araki, 言語処理学会第21回年次大会予稿集, 1052, 1055, Mar. 2015
  English, Summary national conference
• Performance Evaluation of Season Estimation System Using Seasonal Haiku Indicators
  Satsuna Denzumi; Rafal Rzepka; Kenji Araki, 言語処理学会第21回年次大会予稿集, 36, 39, Mar. 2015
  Japanese, Summary national conference
• 3指を用いたタッチパネル入力の評価と考察について (マルチメディア・仮想環境基礎)
  井上 育美; 棟方 渚; Rzepka Rafal; 荒木 健治, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 114, 73, 63, 70, 06 Jun. 2014
  近年スマートフォンの普及に伴い,携帯端末の文字入力はタッチパネル上に表示されるソフトキーボードが主流となりつつある.しかし,その精度や速度,打ちやすさなどは改善の余地がある.その要因の一つとして,現在の入力手法の多くが主に1指を用いて特定の狭い入力領域をタップすることにあると考えられる.そこで,3指の認識と各指の圧力を用いたタップおよびフリック入力を用いる実験環境を構築し,精度を向上させることを目的としたユーザ評価を試みた.具体的には各指の動作に仮名文字を割り当てるマッピングを行うため,ユーザの打ちやすい指の動きについて検証を行った.本稿では,被験者実験により3指の認識精度と各指の組み合わせによる正答率の評価,使用感アンケートによる印象調査およびそれらの相関について考察を述べる., 一般社団法人電子情報通信学会, Japanese
• ３指を用いたタッチパネル入力の評価と考察につい
  井上 育美; 棟方 渚; ジェプカ ラファウ; 荒木 健治, 情報処理学会エンタティンメントコンピューティング研究会資料, 2014-EC-32, 1, 6, Jun. 2014
  Japanese
• Report on the 6th Artificial General Intelligence Conference (AGI 2013)(Introduction to the Artificial General Intelligence)
  Naoya Arakawa; Rafal Rzepka; Hokkaido University, 人工知能 = journal of the Japanese Society for Artificial Intelligence, 29, 3, 239, 240, 01 May 2014
  Japanese
• テキストメッセージの感情及びユーザの選択履歴に対応した顔文字推薦手法の提案とスマートフォンに実装した際のユーザビリティ評価
  卜部有記; ジェプカ・ラファウ; 荒木健治, 言語処理学会第２０回年次大会(NLP2014)講演論文集, Mar. 2014
  Japanese
• Automatic Extraction of Emotive and Non-emotive Sentence Patterns
  PTASZYNSKI Michal; MASUI Fumito; RZEPKA Rafal; ARAKI Kenji, 言語処理学会年次大会発表論文集(Web), 20th, 2014
• 副詞の影響度を考慮した感情推定 (ことば工学研究会(第44回)「ことば」による印象、表象の生成)
  滝澤 満; ジェプカ ラファウ; 荒木 健治, ことば工学研究会 : 人工知能学会第2種研究会ことば工学研究会資料, 44, 13, 18, 29 Nov. 2013
  ことば工学事務局, Japanese
• Emoticon Recommendation System Based on Emotional Statements and User's Past Selection
  卜部 有記; ジェプカ ラファウ; 荒木 健治, ファジィシステムシンポジウム講演論文集, 29, 768, 773, 09 Sep. 2013
  日本知能情報ファジィ学会, Japanese
• Improvement of Emotion Recognition System Considering the Negative Form and Compound Sentence
  滝澤満; RZEPKA Rafal; 荒木健治, ファジィシステムシンポジウム講演論文集(CD-ROM), 29, 774, 777, 09 Sep. 2013
  日本知能情報ファジィ学会, Japanese
• Straight thinking straight from the net - on the web-based intelligent talking toy development
  Rzepka, Rafal; Higuchi, Shinsuke; Ptaszynski, Michal; Araki, Kenji, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), 2172, 2176, Aug. 2013
  English
• A-dur : Action Duration Calculation System
  KRAWCZYK Marek; URABE Yuki; RZEPKA Rafal; ARAKI Kenji, ことば工学研究会 : 人工知能学会第2種研究会ことば工学研究会資料, 43, 47, 54, 26 Jul. 2013
  In this paper, we present A-dur, a tool for calculating duration of actions expressed in Japaneselanguage. A-dur was created in order to be implemented into emotional and social consequences textmining system. However it potentially can be used as a stand-alone time distance calculation solution.It utilizes an extendable temporal expression rules database handcrafted to the system's specifications.We also present the results of our preliminary experiments estimating the database accuracy., ことば工学事務局, English
• Web-Based Five Senses Input Simulation : Ten Years Later
  Rzepka Rafal; Araki Kenji, ことば工学研究会 : 人工知能学会第2種研究会ことば工学研究会資料, 43, 25, 33, 26 Jul. 2013
  A decade has passed from our paper in which we questionthe sensors technology not being ready to give a machine the five senseswith the recognition level close to human's and, as we expected, sensingdevices are still not sufficient to become a base for the world knowledgebased reasoning. Although we did not developed the proposed systemany further because of limited access to Internet data, the need for machineexperience is now even more urgent than before. Existing worldknowledge retrieval systems tend more and more to concentrate on nameentityinformation ignoring very basic world knowledge which is still oneof the most difficult obstacles on the path for reasoning about everydaysituations. In our paper we will introduce results of our latest trial toautomatize previously proposed theory for enriching machine's capabilityto simulate environmental perception and deepen human behaviorunderstanding., ことば工学事務局, English
• Performance Evaluation of Recognition Method of Narrative Humor Using Words Similarity
  天谷 祐介; ジェプカ ラファウ; 荒木 健治, ことば工学研究会 : 人工知能学会第2種研究会ことば工学研究会資料, 43, 63, 69, 26 Jul. 2013
  ことば工学事務局, Japanese
• 闘病ブログを対象とした薬剤服用情報抽出手法の医療対象用語辞書を用いた改善
  北嶋志保; RZEPKA Rafal; 荒木健治, 人工知能学会第2種研究会ことば工学研究会資料, 43rd, 19, 23, 26 Jul. 2013
  ことば工学事務局, Japanese
• カテゴリ別関連度最大化手法に基づく学校非公式サイトの有害書込み検出
  新田大征; 桝井文人; PTASZYNSKI Michal; 木村泰知; RZEPKA Rafal; 荒木健治, 人工知能学会全国大会論文集(CD-ROM), 27th, ROMBUNNO.203-9IN, 4, 2013
  人工知能学会, Japanese
• IOS-02 Alan Turing Year Special Session on AI Research That Can Change the World(Organized Sessions in the 26th Annual Conference of the Japanese Society for Artificial Intelligence,The 26th Annual Conference of the Japanese Society for Art
  ラファウ ジェプカ; 阿部 明典, Journal of Japanese Society for Artificial Intelligence, 27, 6, 673, 673, 01 Nov. 2012, [Invited], [Lead author]
  The Japanese Society for Artificial Intelligence, Japanese
• Humor Recognition by Text Funniness Evaluation
  天谷 祐介; 荒木 健治; ラファウ ジェプカ, ファジィシステムシンポジウム講演論文集, 28, 233, 238, 12 Sep. 2012
  日本知能情報ファジィ学会, Japanese
• An Extraction Method of Medication Usage Information Using Clue Words from Illness Survival Blogs
  Kitajima Shiho; Araki Kenji; Rzepka Rafal, Proceedings of the Fuzzy System Symposium, 28, 251, 256, 12 Sep. 2012
  It is very useful to constructing system that can predict future situation of illness from medical records written by patients in natural language because it will help to ensure informed consent. As the first step, we propose a method to extract description of the effect caused by taking the medicine as a triplet of expressions - medicine name, object of change, and its effect from illness survival blogs. There is no database of evaluation expressions for medical treatment. Moreover usual extraction patterns are not suitable for processing these blogs. Therefore, we decided to extract a expressions triplet using specific clue words and by parsing results. In the experiments, we have confirmed that medication usage information can be extracted with high accuracy compared to other existing methods., 日本知能情報ファジィ学会, Japanese
• Combined Domain Detection Methods in General-purpose Dialogue System
  Yatsu Motoki; Rzepka Rafal; Araki Kenji, Proceedings of the Fuzzy System Symposium, 28, 420, 425, 12 Sep. 2012
  In this paper, we propose implicit and explicit utterance generation models and a dialogue system in which such methods are implemented. Modularizing classifiers enables the agent to give input utterance tags of multiple features including types of sentences and mood expressions. The explicit responses are generated if the input text is classified in a specific domain such as Question-Answering, based on the tags given by classifier modules. In the implicit way, the features gotten from the inputted sentences define an agent's internal state. A relativity vector to each domain is sustainably computed based on similarity in Japanese WordNet ontology as the system's internal state. In other cases of the classification, the system generates open-domain utterances. We will discuss the result of experiments intended to show characteristics of both domain detection methods., 日本知能情報ファジィ学会, Japanese
• Polarization of Consequence Expressions for an Automatic Ethical Judgment Based on Moral Stages Theory
  Rafal Rzepka; Kenji Araki, IPSJ SIG Notes, 2012, 14, 1, 4, 19 Jul. 2012, [Lead author]
  In this paper we introduce a lexicon of words describing positive and negative consequences of human actions based on Kohlbergian theory of stages that people experience when developing moral reasoning. We briefly introduce our algorithm for an automatic ethical judgment and then describe the role of the data and compare an effectiveness of the polarized set alone and when combined with emotional expressions data used for recognizing possible subjective reactions of average Internet users., Information Processing Society of Japan (IPSJ), English
• A Survey on Large Scale Web Based Corpora
  PTASZYNSKI MICHAL; RZEPKA RAFAL; ARAKI KENJI; MOMOUCHI YOSHIO, 言語処理学会年次大会発表論文集, 18th (CD-ROM), ROMBUNNO.B5-1, 13 Mar. 2012
  English
• Annotating Syntactic Information on 5.5 Billion Word Corpus of Japanese Blogs
  PTASZYNSKI MICHAL; RZEPKA RAFAL; ARAKI KENJI; MOMOUCHI YOSHIO, 言語処理学会年次大会発表論文集, 18th (CD-ROM), ROMBUNNO.B2-4, 13 Mar. 2012
  English
• A Robust Ontology of Emotion Objects
  PTASZYNSKI MICHAL; RZEPKA RAFAL; ARAKI KENJI; MOMOUCHI YOSHIO, 言語処理学会年次大会発表論文集, 18th (CD-ROM), ROMBUNNO.F3-6, 13 Mar. 2012
  English
• Simplifying Text Processing with Grammatically Aware Regular Expressions
  Rafal Rzepka; Tyson Roberts; Kenji Araki, 言語処理学会年次大会発表論文集, 18th (CD-ROM), ROMBUNNO.P2-35, 13 Mar. 2012, [Lead author]
  English
• Annotating Affective Information on 5.5 Billion Word Corpus of Japanese Blogs
  PTASZYNSKI MICHAL; DYBALA PAWEL; RZEPKA RAFAL; ARAKI KENJI; MOMOUCHI YOSHIO, 言語処理学会年次大会発表論文集, 18th (CD-ROM), ROMBUNNO.B2-9, 13 Mar. 2012
  English
• Augmenting Interaction: implementing effective interaction models for AR objects (人工知能学会全国大会(第26回)文化,科学技術と未来) -- (International Organized Session「Alan Turing Year Special Session on AI Research That Can Change The World」)
  Dankov Svetoslav; Rzepka Rafal; Araki Kenji, 人工知能学会全国大会論文集, 26, 1, 3, 2012
  人工知能学会, English
• Mixing Words and Emotions : New Natural Methods for Artificial Language Tutors (人工知能学会全国大会(第26回)文化,科学技術と未来) -- (International Organized Session「Alan Turing Year Special Session on AI Research That Can Change The World」)
  Mazur Michal; Rzepka Rafal; Araki Kenji, 人工知能学会全国大会論文集, 26, 1, 5, 2012
  人工知能学会, English
• Beyond Conventional Recognition: Concept of a Conversational System Utilizing Metaphor Misunderstanding as a Source of Humor (人工知能学会全国大会(第26回)文化,科学技術と未来) -- (International Organized Session「Alan Turing Year Special Session on AI Research That Can Change The World」)
  Dybala Pawel; Ptaszynski Michal; Rzepka Rafal, 人工知能学会全国大会論文集, 26, 1, 10, 2012
  人工知能学会, English
• Beyond Conventional Recognition: Concept of a Conversational System Utilizing Metaphor Misunderstanding as a Source of Humor
  DYBALA PAWEL; PTASZYNSKI MICHAL; RZEPKA RAFAL; ARAKI KENJI; SAYAMA KOHICHI, 人工知能学会全国大会論文集(CD-ROM), 26th, ROMBUNNO.3P1-IOS-2A-5, 3P1IOS2a5, 2012
  Although we are still quite far from constructing a human-like conversational system, researchers all over the world keep investigating numerous factors that make conversations between humans. In this work we focus on two such factors: humor and metaphors.Numerous research projects exist in the area of metaphor understanding and generation. We propose a unique approach to this subject, based on an observation that humans can not only properly understand and generate metaphors, but also make fun of their misunderstandings. For instance, an utterance "you have legs like a deer" can be understood as a compliment ("long and graceful"), as well as an insult ("very hairy"). If used properly, such misunderstanding can serve as source of humor in human-computer conversations.Currently we are working on constructing a large scale metaphor conceptual network, in which links between concepts are calculated accordingly to their roles in metaphor understanding. When finished, the network should make it possible for the computer to understand and generate metaphors, and, consequently, also misunderstand (or act as if it misunderstood) them. In this paper we propose a design of a conversational system utilizing these mechanisms. We also consider using emotion-from-text detector to improve aptness of generated misunderstandings., The Japanese Society for Artificial Intelligence, English
• Mixing Words and Emotions - New Natural Methods for Artificial Language Tutors
  MAZUR MICHAL; RZEPKA RAFAL; ARAKI KENJI, 人工知能学会全国大会論文集(CD-ROM), 26th, ROMBUNNO.3P2-IOS-2B-1, 2012
  English
• Augmenting Interaction: implementing effective interaction models for AR objects
  DANKOV SVETOSLAV; RZEPKA RAFAL; ARAKI KENJI, 人工知能学会全国大会論文集(CD-ROM), 26th, ROMBUNNO.3P1-IOS-2A-4, 2012
  English
• A Method of Collecting Explanations Containing a Simile from the Web
  近村 亮一; ラファウ ジェプカ; 荒木 健治, ことば工学研究会 : 人工知能学会第2種研究会ことば工学研究会資料, 39, 0, 13, 18, 25 Nov. 2011
  ことば工学事務局, Japanese
• HAL Are Your HALgorithms, HAL?-Past, Present and Future of Funny Machines
  Rafał Rzepka; Kenji Araki, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 23, 5, 696, 704, 15 Oct. 2011, [Invited], [Lead author]
  日本知能情報ファジィ学会, Japanese
• Webマイニングを用いた文章中の行為者及び被行為者の感情推定
  堂腰裕明; 小山聡; 栗原正仁; プタシンスキ ミハウ; ラファウ ジェプカ; 荒木健治, 情報処理北海道シンポジウム講演論文集, 2011, 223, 224, 01 Oct. 2011
  情報処理北海道シンポジウム2011. 2011年10月1日．北見工業大学アトリウム,北見市., 情報処理学会北海道支部, Japanese
• A Method of Collecting Figurative Explanations from the Web
  近村 亮一; ラファウ ジェプカ; 荒木 健治, ファジィシステムシンポジウム講演論文集, 27, 112, 115, 12 Sep. 2011
  日本知能情報ファジィ学会, Japanese
• Tweeting Robot : Using Internet Resources to Discover User Needs
  高木 慧佑; ジェプカ ラファウ; 荒木 健治, ファジィシステムシンポジウム講演論文集, 27, 916, 919, 12 Sep. 2011
  日本知能情報ファジィ学会, Japanese
• Natural Language Search Based on Subdividing Objects of Search Using Predicate Argument Structure Analysis
  YAMADA Hiroyuki; RZEPKA Rafal; ARAKI Kenji, IEICE technical report, 110, 400, 59, 64, 20 Jan. 2011
  In this paper we describe our system for retrieving texts using predicate argument structure analysis for queries in natural language. A dependency relation included in a query decides a word score, which is retrieved by defining "retrieval subject" that further becomes the main clue for retrieving sentences using a word classified by predicate argument structure analysis tool SynCha as "-ga case". As a result, the problem of biased word score can be corrected. In this research we target judicial precedents of traffic accidents and use "Oshiete! goo" online QA community entries for experiments., The Institute of Electronics, Information and Communication Engineers, Japanese
• Blog記事からのWeb検索を用いた俳句の自動生成手法における音響及び画像の有効性
  人工知能学会第2種研究会 ことば工学研究会資料, SIG-LSE-C001, 31, 36, 2011
• Research on Emoticons: Review of the Field and Proposal of Research Framework
  PTASZYNSKI Michal; PTASZYNSKI Michal; RZEPKA Rafal; ARAKI Kenji; MOMOUCHI Yoshio, 言語処理学会年次大会発表論文集, 17th (CD-ROM), 2011
• Interactive augmented reality games for knowledge acquisition
  Svetoslav Dankov; Rafal Rzepka; Kenji Araki, 第４回楽天シンポジウム2011講演論文集, 2011
• ブログ記事から抽出したオノマトペの多義性について
  第27回ファジィシステムシンポジウム講演論文集, 2011
• 自動生成された常識的知識を表現する文の自然性判定
  第10回情報科学技術フォーラム(FIT2011)講演論文集, 2011
• Research on Emoticons: Review of the Field and Proposalof Research Framework
  言語処理学会第17回年次大会(NLP2011)発表論文集, 2011
• SPEC - Sentence Pattern Extraction and Analysis Architecture
  Michal Ptaszynski; Rafal Rzepka; Kenji Araki; Yoshio Momouchi, 言語処理学会第17回年次大会(NLP2011)発表論文集, 2011
• Machine learning and affect analysis against cyber-bullying
  Michal Ptaszynski; Pawel Dybala; Tatsuaki Matsuba; Fumito Masui; Rafal Rzepka; Kenji Araki, Proceedings of the 1st International Symposium on Linguistic and Cognitive Approaches to Dialog Agents - A Symposium at the AISB 2010 Convention, 7, 16, 01 Dec. 2010
• 複数の対話システムからの応答候補文を用いた最適応答文選択手法の性能評価
  情報処理学会研究報告, 2010-NL-195(10), 1, 7, 2010
• 対話システムにおける対話履歴要約の有効性について
  福田 彩子; 荒木 健治; ジェプカ ラファウ, 情報処理学会研究報告, 2010-NL-195(11), 1, 6, 2010, [Last author]
• PUNDA Numbears: Proposal of Goroawase Generating System for Japanese
  言語処理学会第16回年次大会(NLP2010)発表論文集, 345, 348, 2010
• Web検索と単語n-gramモデルによる対話処理手法における補佐システムの有効性
  人工知能学会第2種研究会 ことば工学研究会資料, SIG-LSE-B001, 17, 23, 2010
• WordNet及びWeb検索による常識的知識ベースのための文生成手法
  村本晃一; ジェプカ・ラファウ; 荒木健治, 人工知能学会第2種研究会 ことば工学研究会資料, SIG-LSE-B001, 1, 7, 2010
  Summary national conference
• On the Need of Context Processing in Affective Computing
  Michal Ptaszynski; Rafal Rzepka; Kenji Araki, Proceedings of the 26th Fuzzy System Symposium (FSS2010), 920, 924, 2010
• Webデータを用いた比喩的説明文生成の研究
  近村 亮一; ジェプカ ラファウ; 荒木 健治, 平成２２年度電気・情報関係学会北海道支部連合大会講演予稿集, 2010
  Summary national conference
• Towards Fully Automatic Emoticon Analysis System (^o^)
  Michal Ptaszynski Pawel; Dybala Rafal Rzepka; Kenji Araki, 言語処理学会第16回年次大会(NLP2010)発表論文集, 2010
  Summary national conference
• Web検索と単語n-gramモデルを用いた文生成手法の性能評価
  高橋瑞希; Rafal Rzepka; 荒木健治, 言語処理学会第16回年次大会(NLP2010)発表論文集, 2010
  Summary national conference
• ヒューマノイドロボットにおける身体操作を表現するための二項動詞の獲得
  長谷川大; ジェプカ ラファウ; 荒木健治, 言語処理学会年次大会発表論文集, 15th, 509, 511, 02 Mar. 2009
  Japanese
• 対話文生成のためのWebを用いた話題語の抽出
  下川尚亮; ジェプカ・ラファウ; 荒木健治, 情報処理学会研究報告, 2009-NL-189, 121, 126, 2009
  Summary national conference
• 非タスク指向型対話システムにおける非同期並列的相互作用による言語獲得手法の提案
  若原 基; ジェプカ ラファウ; 荒木 健治, 電子情報通信学会 第二種研究会資料, WI2-2009-28-45, 53, 54, 2009
• 非同期型チャットアプリケーションに対応した雑談システムの構築と評価
  若原 基; ジェプカ ラファウ; 荒木 健治, 人工知能学会第2種研究会 ことば工学研究会資料, SIG-LSE-A902, 19, 26, 2009
• 対話システムのための因果関係知識を含む文からの関連語抽出
  藤田 基靖; ジェプカ ラファウ; 荒木健治, 情報処理北海道シンポジウム 2009講演論文集, 2009
• 単語n-gramモデルを用いた文生成手法の改善案
  高橋 瑞希; ジェプカ ラファウ; 荒木健治, 平成２１年度 電気・情報関係学会北海道支部連合大会講演論文集, 2009
• 複数文からなる質問を想定した交通事故判例検索の検討
  山田浩之; 木村泰知; ジェプカ・ラファウ; 荒木健治, 情報処理北海道シンポジウム 2009講演論文集, 2009
• The First Challenge to Discover Morality Level In Text Utterances by Using Web Resources
  ジェプカ ラファウ; 桝井 文人; 荒木 健治, 2009年度人工知能学会全国大会（第２３回）論文集(CD-ROM), 23, 1, 4, 2009, [Lead author]
  人工知能学会, English
• Evaluation of Body Movement Verbs Acquisition Method for a Humanoid Robot
  長谷川 大; ジェプカ ラファウ; 荒木 健治, 2009度人工知能学会全国大会（第23回）, 23, 1, 3, 2009, [Peer-reviewed]
  人工知能学会, Japanese
• When Should Computers Joke? - Concept of Emotiveness Analysis Based Timing Algorithm for Humor-Equipped Conversational Systems
  Pawel Dybala Michal; Ptaszynski Rafal Rzepka; Kenji Araki, 言語処理学会第15回年次大会(NLP2009)発表論文集（CD-ROM）, 2009
  Summary national conference
• Contextual Valence Shifters Supporting Affect Analysis of Utterances in Japanese
  PTASZYNSKI Michal, Proceedings of The Fifteenth Annual Meeting of The Association for Natural Language Processing (NLP2009), 825, 828, 2009
• Web上のテキストデータを用いた非タスク指向型対話システムのための係り受け解析による連想メカニズムの構築
  若原 基; ジェプカ ラファウ; 荒木 健治, 電子情報通信学会 情報・システムソサイエティ総合大会特別号, 2009
• Applying a contextual approach for collecting common sense statements to English and Bulgarian
  DANKOV Svetoslav; RZEPKA Rafal; ARAKI Kenji, IPSJ SIG Notes, 2008, 113, 105, 111, 19 Nov. 2008
  In this paper we present and build on a novel approach for automatically collecting common sense statements from the World Wide Web. As a backbone of our method we use generic rules and contextual clues to identify potential candidates. The generic rules consist of predetermined grammatical rules used to express common sense. The contextual clues consist of syntactic and semantic clues. The syntactic clues are represented by various syntactic structures frequently seen around common sense statements, while the semantic clues are represented by the various relationships between entities in the statement. To query for semantic relationships we are using WordNet. Two experiments were performed, evaluating the performance of our method, evaluating the viability of using semantic clues (WordNet) as well as the performance of our method when applied in another language (Bulgarian)., Information Processing Society of Japan (IPSJ), English
• E-041 Outline of Sentence Estimation System Based on Judicial Precedents for Supporting Lay Judges
  Takamaru Keiichi; Shibuki Hideyuki; Kimura Yasutomo; Matsuhara Masafumi; Rzepka Rafal; Murakami Koji, 情報科学技術フォーラム講演論文集, 7, 2, 233, 234, 20 Aug. 2008
  第7回情報科学技術フォーラム(FIT2008). 2008年9月2日～4日．慶應義塾大学 湘南藤沢キャンパス,藤沢市, Forum on Information Technology, Japanese
• E-042 Sentence Estimation based on Features of Criminal Cases Retrieved from News Articles for Supporting Lay Judge
  MATSUHARA Masafumi; KIMURA Yasutomo; SHIBUKI Hideyuki; TAKAMARU Keiichi; RZEPKA Rafal; MURAKAMI Koji, 情報科学技術フォーラム講演論文集, 7, 2, 235, 236, 20 Aug. 2008
  第7回情報科学技術フォーラム(FIT2008). 2008年9月2日～4日．慶應義塾大学 湘南藤沢キャンパス,藤沢市., Forum on Information Technology, Japanese
• E-043 Construction of Judicial Precedent Tag to Sentence for Supporting Lay Judges
  KIMURA Yasutomo; SHIBUKI Hideyuki; TAKAMARU Keiichi; MATSUHARA Masafumi; RZEPKA Rafal; MURAKAMI Koji, 情報科学技術フォーラム講演論文集, 7, 2, 237, 238, 20 Aug. 2008
  第7回情報科学技術フォーラム(FIT2008). 2008年9月2日～4日．慶應義塾大学 湘南藤沢キャンパス,藤沢市., Forum on Information Technology, Japanese
• Emotive Information Discovery from User Textual Input Using Emotion Expression Element and Web Mining
  SHI Wenhan; PTASZYNSKI Michal; RAFAL Rzepka; ARAKI Kenji, IEICE technical report, TL-2008-49, 353, 31, 34, 2008
  In the last few years there has been a rapid development in computerisation. Human lives depend on computers more and more by the day. To make the communication with the machines more natural for an average user, one of the crucial issues is to develop in machines applications and interfaces for understanding human emotions. In this paper we propose a system for affect analysis of textual utterances in Japanese. The emotional states are determined on the basis of appearance of emotive elements and emotive expressions in the utterances as well as Web mining technique in which emotional associations are extracted from the Web using causality features., The Institute of Electronics, Information and Communication Engineers, Japanese
• 新聞記事を対象とした刑事事件の性質と量刑との関連性の可視化
  松原 雅文; 木村 泰知; 渋木 英潔; 高丸 圭一; RZEPKA Rafal; 村上 浩司, 人工知能学会全国大会論文集, 8, 0, 406, 406, 2008
  裁判員制度に向けて、刑事事件の特徴と量刑の対応付けを行い、その関連性の可視化を行うことで、量刑判断の指標を提示するシステムの構築を目指す。本発表では、98年から99年の毎日新聞の記事を対象とする。, 一般社団法人 人工知能学会, Japanese
• 複数対話システムの応答候補からの最適な応答の選択手法
  今井 健太; ジェプカ ラファウ; 荒木 健治, 平成２０年度 電気・情報関係学会北海道支部連合大会講演論文集, 2008
• ウェブ上の因果関係を用いたユーザ入力文からの感情情報の推測
  施,文翰; ジェプカ ラファウ; 荒木 健治, 第７回情報技術フォーラム(FIT2008)講演論文集, 2008
• Double Standpoint Evaluation Method for Affect Analysis Systems
  PTASZYNSKI Michal; DYBALA Pawel; RZEPKA Rafal, 人工知能学会第22回全国大会(JSAI2008)講演論文集, 22, 1, 4, 2008
  人工知能学会, English
• Commonsense and context: a novel approach for automatic extraction of generic statement
  人工知能学会第22回全国大会(JSAI2008)講演論文集, 2008
• Webを利用した連想単語及びモダリティ表現による雑談システム
  言語処理学会第14回年次大会(NLP2008)発表論文集（CD-ROM）, 2008
• Effective Analysis of Emotiveness in Utterances Based on Features of Lexical and Non-Lexical Layers of Speech
  PTASZYNSKI Michal, Proceedings of The Fourteenth Annual Meeting of The Association for Natural Language Processing, 2008, 171, 174, 2008
• Dajare Generating Support Tool - Towards Applicable Linguistic Humor Processing
  言語処理学会第14回年次大会(NLP2008)発表論文集（CD-ROM）, 2008
• Lexical Analysis of Emotiveness in Utterances For Automatic Joke Generation
  PTASZYNSKI Michal; DYBALA Pawel; SHI Wen Han; RZEPKA Rafal; ARAKI Kenji, 映像情報メディア学会技術報告, 31, 47(ME2007 195-214), 2007
• A dynamic memory management system based on forgetting and recalling.
  PTASZYNSKI Michal; SAYAMA Koichi; RZEPKA Rafal; ARAKI Kenji, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2007, 2007
• Perspectives for the Historical Information Retrieval with Digitized Japanese Classical Manuscripts
  Raghavacharya Hari; Rzepka Rafal; Araki Kenji, 人工知能学会第20回全国大会(JSAI2006)(CD-ROM), 20, 1, 4, 2006
  人工知能学会, English
• Towards Systems Using WWW to Presume What Could and Would Have Happened
  人工知能学会第20回全国大会(JSAI2006)(CD-ROM), 2006
• Automatic First Utterance Creation Based on the Strongest Association Retrieved from WWW
  Rafal Rzepka; Kenji Araki, Proceedings of the 19th Annual Conference of the Japanese Society for Artificial Intelligence, 1B1-08, 2005, [Lead author]
• Turing Test During Olympics and Minsky's Anger - Some Pros and Cons of Dialog Systems Competition
  言語処理学会第１１回年次大会(NLP2005)ワークショップ「評価型ワークショップを考える」, 2005
• Rethinking Plans and Scripts Realization in the Age of Web - mining
  RZEPKA Rafal; ITOH Toshihiko; ARAKI Kenji, IPSJ SIG Notes, 2004, 73, 11, 18, 15 Jul. 2004
  In this paper we introduce some ideas for reusing cognitive science concepts which realizing before was impossible due to the technical limits. We concentrate on the Schankian scripts which could help to build plans as the basic method for achieving goals. In contradistinction to the authors of classic cognitivistic ideas, we can currently use powerful computers and terabytes of data which could help to make their concepts usable in not restricted domains for any kind of application using commonsense knowledge. Many useful projects were abandoned because of difficulties due to the manual input of big sets of data. We plan to build a commonsense processing systems which retrieves commonsensical data from the WWW resources. This paper introduces the theoretical side of our research with some results of preliminary tests., Information Processing Society of Japan (IPSJ), English
• Five Senses Input Simulation Based on Web Resources
  人工知能学会研究会資料, SIG-LSE-A301, 65, 73, 2004
• Automatic General Personality Generation Based on WWW (WWWに基づいたジェネラール パーソナリティー自動生成)
  ジェプカラファウ, 第18回人工知能学会全国大会, 金沢, 2004, 2004
• Does the Commonsense Depend on Culture? Results of Simple Scripts Retrieval from WWW
  平成16年度電気・情報関係学会北海道支部連合大会講演論文集(IEEEオーガナイズドセッション), 2004
• Prediction of the User's Reply Using Emotional Information Retrieved from Internet Resources
  RZEPKA R., 2002 IEEE Hokkaido Chapters Joint Convention Record, 2002, 229, 230, 2002
  IEEE Sapporo Section
• Common Belief Retrieval for Talking Agent Based on Primitive WWW Search
  Rzepka Rafal; Araki Kenji; Tochinai Koji, 人工知能学会全国大会論文集, 16, 1, 3, 2002
  人工知能学会, English
• Basic Idea of General Belief Retrieving Agent "GENTA"
  RZEPKA R., 2001 IEEE Hokkaido Chapters Joint Convention Record, 2001, 414, 415, 2001, [Lead author]
  IEEE Sapporo Section

• 〔Major achievements〕Obtaining hints to understand language model-based moral decision making by generating consequences of acts
  Rafal Rzepka; Kenji Araki
  Elsevier, Feb. 2024, 9780443159916, English, Scholarly book, [Peer-reviewed], [Joint work]
• Corpus Linguistics and Discourse Annotations. International Journal of Computational Linguistics and Chinese Language Processing (IJCLCLP)
  Aug. 2022, [Joint editor]
• The 7th Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2021) - CEUR Workshop Proceedings vol. 2935
  Rafal Rzepka; Jordi Vallverdú; Andre Wlodarczyk; Michal Ptaszynski; Pawel Dybala, 編集長
  Aug. 2021, [Editor]
• Advances in Intelligent Systems and Computing
  Yasufumi Takama; Naohiro Matsumura; Katsutoshi Yada; Mitsunori Matsushita; Daisuke Katagami; Akinori Abe; Hisashi Kashima; Toshihiro Hiraoka; Takahiro Uchiya; Rafal Rzepka
  Springer, Jun. 2021, 9783030964504, [Joint editor]
• Joint Proceedings of the Workshops on Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2019) and on Bridging the Gap Between Human and Automated Reasoning (BtG 2019) CEUR Workshop Proceedings vol. 2935
  Ulrich Furbach; Steffen Hoelldobler; Marco Ragni; Rafal Rzepka; Claudia Schon; Jordi Vallverdu; Andre Wlodarczyk, Guest Editor
  Aug. 2019, [Joint editor]
• Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018)
  Rafal Rzepka; Jordi Vallverdú; Andre Wlodarczyk, International
  CEUR-WS, Sep. 2018, [Joint editor]
• Artificial General Intelligence - 11th International Conference, AGI 2018
  Matthew Iklé; Arthur Franz; Rafal Rzepka; Ben Goertzel, International
  Springer, Aug. 2018, [Joint editor]
• 〔Major achievements〕AI with Empathy: language, emotions, ethics, humor, common sense
  Rafal RZEPKA, common sense, machine ethics
  Morikita Publishing House, Jun. 2016, [Joint work]
• 〔Major achievements〕Rethinking Machine Ethics in the Age of Ubiquitous Technology
  Rafal Rzepka; Kenji Araki, Semantic Analysis of Bloggers Experiences as a Knowledge Source of Average Human Morality
  IGI Global, Hershey, PA, USA, May 2015, [Contributor]
• 〔Major achievements〕Machine Medical Ethics (Intelligent Systems, Control and Automation: Science and Engineering Series)
  Rafal Rzepka; Kenji Araki, ELIZA Fifty Years Later: An Automatic Therapist Using Bottom-Up and Top-Down Approaches
  Springer International Publishing, Sep. 2014, 9783319081076, 15, http://link.springer.com/chapter/10.1007%2F978-3-319-08108-3_16, English, Scholarly book, Our methods for realizing a moral artificial agent assume that the wisdom of crowds can equip a machine with the enormous number of experiences that are the source of its ethical reasoning. Every second, people with different cultural, religious or social backgrounds share their personal experiences about multitudes of human acts. We propose that a machine therapist capable of analyzing thousands of such cases should be more convincing and effective talking to a patient, instead of analyzing single keywords. In this chapter, we introduce this vision and several techniques already implemented in an algorithm for generating empathic machine reactions based on emotional and social consequences. We show the roles that Bentham’s Felicific Calculus, Kohlberg’s Theory of Stages of Moral Development and McDougall’s classification of instincts play in the agent’s knowledge acquisition, and we describe the accuracy of already working parts. Modules and lexicons of phrases based on these theories enable a medical machine to gather information on how patients typically feel when certain events happen, and what could happen before and after actions. Such empathy is important for understanding the actions of other people, and for learning new skills by imitation. We also discuss why this bottom-up approach should be accompanied by a top-down utility calculation to ensure the best outcome for a particular user, and what ethical dilemmas an advanced artificial therapist could cause., [Contributor]
• Speech, Image and Language Processing for Human Computer Interaction: Multi-Modal Advancements
  Uma Shanker Tiwary; Uma Shanker Tiwary; Tanveer J. Siddiqui
  IGI Global, 30 Apr. 2012, 1466609540, 386

  

• 人工知能とことばの理解〜AIはことばをどのように「理解」してきたのか〜
  ジェプカ・ラファウ
  北大道新アカデミー 招待講義, 14 Sep. 2024, Japanese, Public discourse
  [Invited]
• NLPの多様な応用と可能性：現実的な視点からの考察
  ジェプカ・ラファウ
  第10回北大・部局横断シンポジウム, 06 Sep. 2024, Invited oral presentation
• 人工知能の入門
  ジェプカ・ラファウ
  中央地区福祉のまち推進センター おしゃべりサロン6年度第9回 招待講義,, 08 Aug. 2024, Japanese, Public discourse
  [Invited]
• AIの能力、限界、社会への潜在的な影響 ～専門家でも意見が分かれる人工知能の今～
  ジェプカ・ラファウ
  北大祭2024公開講義, 09 Jun. 2024, Japanese, Public discourse
• Examples of NLP applications in detecting immoral behavior in Japanese
  Rafal Rzepka
  The Fifth Conference on Information theories and information analysis in forensics, criminology, law and security sciences, 02 Jun. 2023, Polish, Invited oral presentation
  [Invited]
• 人工知能の基礎知識
  ジェプカ・ラファウ
  札幌まちづくり「おしゃべりサロン」, 06 Mar. 2023, Japanese, Public discourse
  [Invited]
• 人工知能と未来を考える
  ジェプカ・ラファウ
  苫小牧市科学センター「サイエンス・カフェ」, 21 Jan. 2023, Japanese, Public discourse
  [Invited]
• 人工知能と倫理
  ジェプカ・ラファウ
  苫小牧市科学センター「サイエンス・カフェ」, 21 Jan. 2023, Japanese, Public discourse
  [Invited]
• Large Language Models - Sophisticated Autocomplete Tools or a Big Step Towards AGI?
  Rafal Rzepka
  第22回汎用人工知能研究会, 22 Nov. 2022, Japanese, Invited oral presentation
  [Invited]
• Mind the Gap - Thinking About Meaning in the Context of Ethical AGI.
  Rafal Rzepka
  Invited Lecture at Indian Institute of Information Technology Kottayam, 14 Sep. 2022, English, Public discourse
• Invited Talk - Humanizing Machines by Simulating Empathy and Understanding Human Needs
  Rafal Rzepka
  IJCAI Humanizing AI Workshop, 12 Aug. 2019, English, Keynote oral presentation
  [Invited]
• Invited Talk - "Building Future with AI"
  Rafal Rzepka
  Tomakomai Science Center, 29 Jun. 2019, Japanese, Invited oral presentation
  [Invited]
• Invited Talk - "AI Ethics for Developers, Users and Legislators - Problems and Solutions"
  Rafal Rzepka
  Nitobe School Leaders Meeting, 15 Jun. 2019, English, Invited oral presentation
  [Invited]
• Invited lecture - Common Sense Morality for Machines - Are Our Shared Experiences the Only Solution for Safe Artificial Intelligence?
  Rafal RZEPKA
  Morality mod Science Seminar, 21 Sep. 2018, Japanese, Invited oral presentation
  [Invited]
• Invited Talk - Wisdom of Crowds as The Source of The Human Moral Sense for Artificial Intelligence
  Rafal RZEPKA
  National Information Academy Seminar, 02 Aug. 2018, Invited oral presentation
  [Invited]
• From Signals, through Words, to Safe Behavior - Value Alignment by Human Experience Analysis
  Rafal RZEPKA
  Invited Talk at the 8th International Workshop on Signal Design and its Applications in Communications (IWSDA’17), 28 Sep. 2017, English, Invited oral presentation
  [Invited], [International presentation]
• Automatic Text Analysis and Generation - Less and More Serious Applications
  Rafal RZEPKA
  Invited Talk at Jagiellonian University, Dec. 2015, Invited oral presentation
  [Invited]
• Invited Talk - Pros and Cons of Borrowing Morality from P2P Civilization
  Rafal RZEPKA
  AAAI Spring Symposium, 27 Mar. 2014, English, Invited oral presentation
  [Invited], [International presentation]
• "Artificial Common Sense in a Pill"
  Rafal RZEPKA
  Invited Lecture at Copernicus University, May 2011, Public discourse
  [Invited]
• "Japanese machines know what you feel - about interdisciplinary approach to AI"
  Rafal RZEPKA
  Invited Talk at Adam Mickiewicz University, Feb. 2010, Public discourse
  [Invited]
• "Why does my robot read your blog - about new perspectives for AI in the Internet era"
  Rafal RZEPKA
  Invited Talk at Szczecin Institute of Technology, Feb. 2010, Public discourse
  [Invited]

• May 2025 - May 2027
  IEICE - Institute of Electronics, Information and Communication Engineers
• Association for Computational Linguistics (ACL)
• AAAI
• 日本認知科学学会
• 人工知能学会
• Japanese Cognitive Science Society
• Japanese Society for Artificial Intelligence

• JETHICS dataset
  Masashi Takeshita; Rafal Rzepka, 20 Jun. 2025 - Present, [Database]
• JCommonsenseMorality
  Masashi Takeshita; Rafal Rzepka; Kenji Araki, Mar. 2023, [Database]
• Semantic primes prompts in Japanese (approx. 64,000 annotated cognitive knowledge data samples
  Rafal Rzepka, 2023, [Database]
• ROCStories-jp: approx. 55,000 English stories with alternative endings automatically translated to Japanese
  Rafal Rzepka, 2023, [Database]
• DanSto (Dangerous Stories) approx. 8,000 five-sentence stories in Japanese based on DanSen dataset
  Rafal Rzepka, 2023, [Database]
• CISTEC FAQ-based Trade Security QA dataset
  Rafal Rzepka; Akihiko Obayashi, Sep. 2022, [Database]
• DanSen (Dangerous Sentences) Dataset
  Rafal Rzepka; Yuki Katsumata, Mar. 2022, [Database]
• MLAsk: Open Source Affect Analysis Software for Textual Input in Japanese
  Michal Ptaszynski; Pawel Dybala; Rafal Rzepka; Kenji Araki; Fumito Masui, Sep. 2016, [Software]
• Japanese Winograd Schemas
  Rafał Rzepka; Soichiro Tanaka; Shiho Kitajima, Nov. 2015, [Database]
• Japanese Blog Corpus YACIS
  Michal Ptaszynski; Pawel Dybala; Rafal Rzepka; Kenji Araki; Yoshio Momouchi, 2012, [Database]
• MuCha - Text Processing Tool using Grammatically Aware Regular Expressions
  Tyson Roberts; Rafal Rzepka, Jan. 2012, [Software]
• Japanese Natural Language Toolset MIT ConceptNet
  Tyson Roberts; Rafal Rzepka; Kenji Araki, Oct. 2010, [Software]

• PALGAIT (Philosophical Applications and Its Limits in Generative AI Technology)
  2024 - 2028
  with J. Vallverdu; A. Estany Profitos; M. Gensollen; L. Magnani; A. Sans Pinillos; D.J. Casacuberta Sevilla
  Spanish Ministry of Education, Coinvestigator
• 技術流出防止のための、人工知能による新規のガイダンスシステムの開発
  科学研究費助成事業
  Apr. 2023 - Mar. 2026
  大林 明彦
  日本学術振興会, 基盤研究(C), 北海道大学, Coinvestigator, 23K11757
• Creation and Evaluation of Tacit Knowledge Based on Semantic Primes
  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)
  01 Apr. 2022 - 31 Mar. 2025
  RZEPKA Rafal
  Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (C), Hokkaido University, 22K12160
• AI systems that can be explained in language based on knowledge and reasoning
  CREST
  2020 - 2025
  Kentaro Inui
  JST, Coinvestigator not use grants
• Development of Interactive Advisory System for Security Export Control
  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)
  Apr. 2020 - Mar. 2023
  Akihiko Obayashi; Rafal Rzepka
  During the second year of our project we extended our question-answer database for the conversational expert system for supporting non-expert in deciding if their research or goods for export are require governmental permission. We also created a synonym dataset of chemical substances based on CAS numbers (by hiring a worker with the grant funds) to improve mapping terms in queries to the keywords in our database. This lead to enriching triplets for our knowledge graph which will now contains concepts as "SynonymOf", "HasCAS", "HasDefinition", "AddressHasText" or "IsControlledBy". We experimented with visualizing these concepts to have a better insight into connections among terms used in the Controlled Goods/Technologies Matrix Table. This should improve the process of searching legal texts for answers to the user’s queries. We published our findings from experiments with question answering and presented them during an international conference. It appeared that traditional and modern learning approaches (LDA-Based Ranker, BERT Ranker, SQuAD model-based QA and GPT-2-based Answer Generation) achieved worse results than keyword matching based on the glossary published as an index for the legal text regarding trade security issues. This convinced us to shift the weight from automatic to half-automatic in our approach for searching paragraphs related to user queries. However, there is still a necessity for using similarity calculation in order to deal with terms which are used in queries but are not included in the glossary used for keyword matching.
  Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (C), Hokkaido University, Coinvestigator, 20K12556
• Development of a System for Collecting Context Data for Large-Scale Inverse Reinforcement Learning
  Grant-in-Aid for Scientific Research (C)
  Apr. 2017 - Mar. 2022
  Rafal RZEPKA
  JSPS, Principal investigator, Competitive research funding
• Research on Text Generation
  2021 - 2022
  ジェプカ・ラファウ; 岩倉 友哉; 馬 春鵬
  Fujitsu Ltd, Principal investigator
• Research on chemical substance information extraction technology for creating chemical knowledge base
  2019 - 2020
  ジェプカ・ラファウ; Patrycja Swieczkowska; 岩倉 友哉; 渡邊 大貴
  Fujitsu Labs, Principal investigator
• Investigation of Communication Development Stages and Conversational Characteristics for Foreign Language Tutoring Systems
  IST Grant for Research Fellowships for Young Researchers
  2016 - 2017
  Rafal Rzepka
  Hokkaido University, Graduate School of Information Science and Technology, Principal investigator
• Methods For an Automatic Generation of MIT ConceptNet Japanese Entries
  IST Grant For Young Researchers
  2014 - 2015
  Rafal Rzepka
  Hokkaido University, Graduate School of Information Science and Technology, Principal investigator
• 世評・感情・倫理を考慮して柔軟に有害表現を検出する技術の開発と学校非公式サイト監視への応用
  Kakenhi Grant
  Apr. 2012 - Mar. 2014
  Fumito MASUI
  JSPS, Competitive research funding
• ウェブマイニングによる人間行動の倫理性推論アルゴリズムの構築
  Kaken Grant
  Apr. 2012 - Mar. 2014
  RZEPKA Rafal
  JSPS, Principal investigator, Competitive research funding
• Applying Common Sense Retrieved from the Web to a Housekeeping Robot
  IST Grant For Young Researchers
  2010 - 2012
  Rafal Rzepka
  Hokkaido University, Graduate School of Information Science and Technology, Principal investigator
• 情報の遷移にダイナミックに追従するインターネット単語帳システムの開発
  Kakenhi Grant
  Apr. 2008 - Mar. 2011
  Fumito Masui
  JSPS, Competitive research funding
• Automatic Retrieval of Elementary Knowledge for Nano-electronics
  グローバルCOE「知の創出を支える次世代IT基盤拠点」
  2007 - 2009
  Kazuhisa Sueoka
  JSPS, Coinvestigator not use grants
• Communication Ability Development Toy with Common Sense Dialogue System
  Apr. 2005 - Mar. 2008
  Rafal Rzepka
  Nissan Foundation, Competitive research funding

• いま創発機械倫理を研究する必要性
  01 Aug. 2025
  Panelist
  第30回汎用人工知能研究会 パネル討論
• 人工知能とことばの理解〜AIはことばをどのように「理解」してきたのか〜
  14 Sep. 2024
  Lecturer
  北大道新アカデミーでの講義
• 人工知能の入門
  08 Aug. 2024
  Lecturer
  中央地区福祉のまち推進センター おしゃべりサロン6年度第9回
• AIの能力、限界、社会への潜在的な影響 ～専門家でも意見が分かれる人工知能の今～
  09 Jun. 2024
  Lecturer
  北大祭2024公開講義
• 人工知能の基礎知識
  06 Mar. 2023 - 06 Mar. 2023
  Lecturer
  札幌まちづくり
  「おしゃべりサロン」
• 人工知能と倫理
  21 Jan. 2023 - 21 Jan. 2023
  Lecturer
  苫小牧市科学センター
  「サイエンス・カフェ」
• 人工知能と未来を考える
  21 Jan. 2023 - 21 Jan. 2023
  Lecturer
  苫小牧市科学センター
  「サイエンス・カフェ」
• AIと未来を創る ～AIの歴史と可能性～
  29 Jun. 2019 - 29 Jun. 2019
  Appearance
  苫小牧科学センター
• 「親子でケイケン値UP」 ～ポーランドで育って 日本で育てて～
  06 Nov. 2013 - 06 Nov. 2013
  Panelist
  東区PTA連合会
  研修大会

• We Expect Too Little from AI — Artificial Intelligence Can Get Closer to Humans
  Jul. 2025
  Tygodnik Powszechny
  [Paper]
• 常識的知識や倫理AIで判断
  06 Nov. 2018
  北海道新聞
  [Paper]
• Let the machine judge us
  Sep. 2015
  Other than myself
  Tygodnik Powszechny
  [Paper]
• The vacuum cleaner that can tweet it can’t fly
  Jul. 2014
  Other than myself
  北海道大学
  Spotlight on Research
  [Pr]