Michal Ptaszynski

Professor

About Me

My name is Michal Ptaszynski, I work as a Professor at the Department of Computer Science, Kitami Institute of Technology, Kitami, Japan. I am engaged in a number of projects, including the development of affect analysis tools for Japanese, detection of cyberbullying entries on the Internet, collecting and annotating a (very) large corpus of Japanese blogs, constructing a sentence pattern extraction architecture, developing an emotionally aware language model, or developing a dialogue agent that understands and aptly responds to user emotions. My research interests overlap Natural Language Processing (NLP), Artificial Intelligence (AI) and Human-Computer Interaction (HCI).

Research Interests

Online Harms Extraction · Ainu language · Dialog Agent · Cyberbullying · Affect Analysis · Text Mining · Natural Language Processing

Research Areas

Informatics / Intelligent informatics (Natural Language Processing)
Informatics / Intelligent informatics

Research Experience

Apr 2025 – Present: Professor, Kitami Institute of Technology Faculty of Engineering
Apr 2018 – Mar 2025: Associate Professor, Kitami Institute of Technology Faculty of Engineering
Apr 2013 – Mar 2018: Assistant Professor, Kitami Institute of Technology Department of Computer Science
Nov 2012 – Mar 2013: Post-Doctoral Researcher, Kitami Institute of Technology Department of Computer Science
Nov 2010 – Oct 2012: Post-Doctoral Research Fellow, Hokkai-Gakuen University Engineering Department
Oct 2010 – Nov 2010: Professional Researcher, Hokkaido University 情報科学研究科

Education

Oct 2007 – Sep 2010: Hokkaido University 大学院情報科学研究科博士後期課程
Oct 2001 – Nov 2006: Adam Mickiewicz University Department of Neophilology

Papers (241)

2026 (5)

Juuso Eronen, Zhenzhen Liu, Michal Ptaszynski, Karol Nowakowski, Fumito Masui, “Exploring the Effects of Data Volume and Transfer-Language Choice on Transfer Learning with Application to Polish”, Electronics, May 2026. DOI
Kinga Lasek, Michal Ptaszynski, Fumito Masui, Mujahid Khalifah, Juuso Eronen, “Mapping Dialectal Landscape: A Sequence-to-Sequence Approach to Japanese Dialect-to-Standard Normalization”, Machine Learning and Knowledge Extraction, Apr 2026. DOI
Juuso Eronen, Michal Ptaszynski, Tomasz Wicherkiewicz, Robert Borges, Katarzyna Janic, Zhenzhen Liu, Tanjim Mahmud, Fumito Masui, “Language Models Are Polyglots: Language Similarity Predicts Cross-Lingual Transfer Learning Performance”, Machine Learning and Knowledge Extraction, Mar 2026. DOI
Patrycja Tempska, Rafał Urbaniak, Maria Dowgiałło, Michal Ptaszynski, Alan Zajączkowski, Maja Milewska, Gniewosz Leliwa, Michał Marcińczuk, Maciej Brochocki, Michał Wroczyński, “Whom to pity, whom to scold? Effects of empathetic and normative AI-assisted interventions on aggressive Reddit users with different activity profiles”, Information Processing & Management, Mar 2026. DOI
Nor Saiful Azam Bin Nor Azmi, Michal Ptaszynski, Fumito Masui, Abu Nowhash Chowdhury, “Why So Meme? A Comparative and Explainable Analysis of Multimodal Hateful Meme Detection”, Machine Learning and Knowledge Extraction, Feb 2026. DOI

2025 (3)

Daichi Azuma, René Meléndez, Michal Ptaszynski, Fumito Masui, Lara Aslan, Juuso Eronen, “SVM, BERT, or LLM? A Comparative Study on Multilingual Instructed Deception Detection”, AI, Sep 2025. DOI
Zhenzhen Liu, Juuso Eronen, Fumito Masui, Michal Ptaszynski, “Chinese Tourist Motivations for Hokkaido, Japan: A Hybrid Approach Using Transformer Models and Statistical Methods”, Tourism and Hospitality, Jul 2025. DOI
Kit-May Shum, Michal Ptaszynski, Fumito Masui, “Big Five Personality Trait Prediction Based on User Comments”, Information, May 2025. DOI

2024 (8)

René Meléndez, Michal Ptaszynski, Fumito Masui, “Comparative Investigation of Traditional Machine-Learning Models and Transformer Models for Phishing Email Detection”, Electronics, Dec 2024. DOI
Lara Aslan, Michal Ptaszynski, Jukka Jauhiainen, “Are Strong Baselines Enough? False News Detection with Machine Learning”, Future Internet, Sep 2024. DOI
Michal Ptaszynski, Pawel Dybala, Rafal Rzepka, “Application of Artificial Intelligence Methods in Processing of Emotions, Decisions, and Opinions”, Applied Sciences, Jul 2024. DOI
Victor Alex Silaa, Fumito Masui, Michal Ptaszynski, “Augmenting web-based tourist support system with microblog analyzed data”, International Journal of Machine Learning and Cybernetics, Jun 2024. DOI
Lu Wang, Sho Isomura, Michal Ptaszynski, Pawel Dybala, Yuki Urabe, Rafal Rzepka, Fumito Masui, “The Limits of Words: Expanding a Word-Based Emotion Analysis System with Multiple Emotion Dictionaries and the Automatic Extraction of Emotive Expressions”, Applied Sciences, May 2024. DOI
Tanjim Mahmud, Michal Ptaszynski, Fumito Masui, “Exhaustive Study into Machine Learning and Deep Learning Methods for Multilingual Cyberbullying Detection in Bangla and Chittagonian Texts”, Electronics, Apr 2024. DOI
Mujahid Jamal A. Khalifah, Michal Ptaszynski, Fumito Masui, “Emotional Text-To-Speech in Japanese Using Artificially Augmented Dataset”, IEEE Access, 2024. DOI
Michal Ptaszynski, Agata Pieciukiewicz, Pawel Dybala, Pawel Skrzek, Kamil Soliwoda, Marcin Fortuna, Gniewosz Leliwa, Michal Wroczynski, “Expert-Annotated Dataset to Study Cyberbullying in Polish Language.”, Data, 9(1), p. 1, 2024. DOI

2023 (16)

Tanjim Mahmud, Michal Ptaszynski, Juuso Eronen, Fumito Masui, “Cyberbullying detection for low-resource languages and dialects: Review of the state of the art.”, Information Processing and Management, 60(5), p. 103454, Sep 2023. DOI
PTASZYNSKI Michal, “Past, Present, and Future of Automatic Cyberbullying Detection Research”, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 35(3), pp. 38–47, Aug 2023. DOI
Zhenzhen Liu, Fumito Masui, Juuso Eronen, Shun Terashita, Michal Ptaszynski, “A New Approach to Extracting Tourism Focus Points from Chinese Inbound Tourist Reviews after COVID-19”, Sustainability (Switzerland), 15(11), Jun 2023. DOI
Juuso Eronen, Michal Ptaszynski, Fumito Masui, “Zero-shot cross-lingual transfer language selection using linguistic similarity.”, Information Processing and Management, 60(3), p. 103250, May 2023. DOI
Nowakowski, Karol, Ptaszynski, Michal, Murasaki, Kyoko, Nieuważny, Jagna, “Adaptation of a multilingual speech representation model for a new, underresourced language via multilingual fine-tuning and continued pretraining”, Science Talks, 8, 2023
Mahmud, Tanjim, Ptaszynski, Michal, Masui, Fumito, “Automatic vulgar word extraction method with application to vulgar remark detection in chittagonian dialect of bangla”, Applied Sciences, 13(21), p. 11875, 2023. DOI
Eronen, Juuso, Ptaszynski, Michal, Masui, Fumito, “Enhancing cross-lingual learning: Optimal transfer language selection with linguistic similarity”, Science Talks, 6, 2023
Karol Nowakowski, Michal Ptaszynski, “Improving Low-Resource Speech Recognition through Multilingual Fine-Tuning with Language Identifiers and Self-Training”, ROCLING 2023 - Proceedings of the 35th Conference on Computational Linguistics and Speech Processing, pp. 63–70, 2023
Tanjim Mahmud, Michal Ptaszynski, Juuso Eronen, Fumito Masui, “Cyberbullying Detection for Low-resource Languages and Dialects: Review of the State of the Art.”, CoRR, abs/2308.15745, 2023. DOI
Tanjim Mahmud, Michal Ptaszynski, Fumito Masui, “Vulgar Remarks Detection in Chittagonian Dialect of Bangla.”, CoRR, abs/2308.15448, 2023. DOI
Juuso Eronen, Michal Ptaszynski, Karol Nowakowski, Chia Zheng Lin, Fumito Masui, “Improving Polish to English Neural Machine Translation with Transfer Learning: Effects of Data Volume and Language Similarity.”, CoRR, abs/2306.00660, 2023. DOI
Juuso Eronen, Michal Ptaszynski, Fumito Masui, “Zero-shot cross-lingual transfer language selection using linguistic similarity.”, CoRR, abs/2301.13720, 2023. DOI
Karol Nowakowski, Michal Ptaszynski, Kyoko Murasaki, Jagna Nieuwazny, “Adapting Multilingual Speech Representation Model for a New, Underresourced Language through Multilingual Fine-tuning and Continued Pretraining.”, CoRR, abs/2301.07295, 2023. DOI
Karol Nowakowski, Michal Ptaszynski, Kyoko Murasaki, Jagna Nieuwazny, “Adapting multilingual speech representation model for a new, underresourced language through multilingual fine-tuning and continued pretraining.”, Information Processing and Management, 60(2), p. 103148, 2023. DOI
Yutaka Kondo, Hitoshi Yanagi, Michal Ptaszynski, Shimpei Aihara, Fumito Masui, “Statistical Analysis of Recent Rule Revision Effects for Tactical and Strategic Elements in Curling”, Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support, pp. 70–81, 2023. DOI
Kouki Ishitoya, Fumito Masui, Hitoshi Yanagi, Michal Ptaszynski, Shimpei Aihara, “Development of a Method for Reproducing Measured Orbital Data of Curling Stone by VR Technology”, Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support, pp. 61–69, 2023. DOI

2022 (13)

Victor Silaa, Fumito Masui, Michal Ptaszynski, “A Method of Supplementing Reviews to Less-Known Tourist Spots Using Geotagged Tweets”, APPLIED SCIENCES-BASEL, 12(5), Mar 2022. DOI
Ptaszynski, Michal E, Masui, Fumito, “Description and Initial Analysis of Cyberbullying Dataset”, Research Anthology on Combating Cyber-Aggression and Online Negativity, pp. 587–614, 2022
Jagna Nieuwazny, Karol Nowakowski, Michal Ptaszynski, Fumito Masui, “Can You Fool AI by Doing a 180? - A Case Study on Authorship Analysis of Texts by Arata Osada.”, CoRR, abs/2207.09085, 2022. DOI
Tanjim Mahmud, Sudhakar Das, Michal Ptaszynski, Mohammad Shahadat Hossain, Karl Andersson 0001, Koushick Barua, “Reason Based Machine Learning Approach to Detect Bangla Abusive Social Media Comments.”, ICO, 569 LNNS, pp. 489–498, 2022. DOI
Yuto Oikawa, Michal Ptaszynski, Fumito Masui, “AI Training for Thunderstorm Training: Better Situational Awareness for Disaster Tweets Using Context and Emotions.”, 10th International Conference on Affective Computing and Intelligent Interaction, ACII 2022 - Workshops and Demos(ACIIW), pp. 1–10, 2022. DOI
Juuso Eronen, Michal Ptaszynski, Fumito Masui, Masaki Arata, Gniewosz Leliwa, Michal Wroczynski, “Transfer language selection for zero-shot cross-lingual abusive language detection.”, Information Processing and Management, 59(4), p. 102981, 2022. DOI
Rafal Urbaniak, Patrycja Tempska, Maria Dowgiallo, Michal Ptaszynski, Marcin Fortuna, Michal Marcinczuk, Jan Piesiewicz, Gniewosz Leliwa, Kamil Soliwoda, Ida Dziublewska, Nataliya Sulzhytskaya, Aleksandra Karnicka, Pawel Skrzek, Paula Karbowska, Maciej Brochocki, Michal Wroczynski, “Namespotting: Username toxicity and actual toxic behavior on Reddit.”, Computers in Human Behavior, 136, p. 107371, 2022. DOI
Juuso Eronen, Michal Ptaszynski, Fumito Masui, “Comparing Performance of Different Linguistically-Backed Word Embeddings for Cyberbullying Detection.”, CoRR, abs/2206.01950, pp. 169–173, 2022. DOI
Juuso Eronen, Michal Ptaszynski, Fumito Masui, Gniewosz Leliwa, Michal Wroczynski, “Exploring the Potential of Feature Density in Estimating Machine Learning Classifier Performance with Application to Cyberbullying Detection.”, CoRR, abs/2206.01949, pp. 5–14, 2022. DOI
Juuso Kalevi Kristian Eronen, Michal Ptaszynski, Fumito Masui, Gniewosz Leliwa, Michal Wroczynski, Mateusz Piech, Aleksander Smywinski-Pohl, “Initial Study into Application of Feature Density and Linguistically-backed Embedding to Improve Machine Learning-based Cyberbullying Detection.”, CoRR, abs/2206.01889, 2022. DOI
Juuso Kalevi Kristian Eronen, Michal Ptaszynski, Fumito Masui, Masaki Arata, Gniewosz Leliwa, Michal Wroczynski, “Transfer Language Selection for Zero-Shot Cross-Lingual Abusive Language Detection.”, CoRR, abs/2206.00962(4), 2022. DOI
Michal Ptaszynski, Pawel Dybala, Tatsuaki Matsuba, Fumito Masui, Rafal Rzepka, Kenji Araki, Yoshio Momouchi, “In the Service of Online Order: Tackling Cyber-Bullying with Machine Learning and Affect Analysis.”, CoRR, abs/2203.02116, 2022. DOI
Rafal Urbaniak, Michal Ptaszynski, Patrycja Tempska, Gniewosz Leliwa, Maciej Brochocki, Michal Wroczynski, “Personal attacks decrease user activity in social networking platforms.”, Comput. Hum. Behav., 126, p. 106972, 2022. DOI

2021 (15)

Michal Ptaszynski, Monika Zasko-Zielinska, Michal Marcinczuk, Gniewosz Leliwa, Marcin Fortuna, Kamil Soliwoda, Ida Dziublewska, Olimpia Hubert, Pawel Skrzek, Jan Piesiewicz, Paula Karbowska, Maria Dowgiallo, Juuso Eronen, Patrycja Tempska, Maciej Brochocki, Marek Godny, Michal Wroczynski, “Looking for razors and needles in a haystack: Multifaceted analysis of suicidal declarations on social media—a pragmalinguistic approach”, International Journal of Environmental Research and Public Health, 18(22), Nov 2021. DOI
OIKAWA Yuto, PTASZYNSKI Michal, MASUI Fumito, “DISASTER TWEET CLASSIFICATION FOR DAMAGE ASSESSMENT AND ITS IMPROVEMENT WITH FEATURE ANALYSIS”, Proceedings of the 2021 International Workshop on Modern Science and Technology, 2021, pp. 175–180, Sep 2021. DOI
LIU Zhenzhen, MASUI Fumito, PTASZYNSKI Michal, “SUPPORTING INBOUND TOURISM IN HOKKAIDO: KEYWORD EXTRACTION AND FOCUS POINT ANALYSIS FROM SPOT REVIEWS”, Proceedings of the 2021 International Workshop on Modern Science and Technology, 2021, pp. 151–156, Sep 2021. DOI
TERASHITA Shun, MASUI Fumito, PTASZYNSKI Michal, “IMPROVEMENT OF QUANTITATIVE LEARNER’S MOTIVATION METHOD BY OPTIMIZING THE COMBINATION OF THE ELEMENTS”, Proceedings of the 2021 International Workshop on Modern Science and Technology, 2021, pp. 163–168, Sep 2021. DOI
SILAA Victor, MASUI Fumito, PTASZYNSKI Michal, “AUTOMATIC SENTIMENT SCORE GENERATION METHOD FOR SIGHTSPOTS REVIEW SYSTEM”, Proceedings of the 2021 International Workshop on Modern Science and Technology, 2021, pp. 157–162, Sep 2021. DOI
Michal Ptaszynski, Fumito Masui, Yuuto Fukushima, Yuuto Oikawa, Hiroshi Hayakawa, Yasunori Miyamori, Kiyoshi Takahashi, Shunzo Kawajiri, “Deep Learning for Information Triage on Twitter”, Applied Sciences, 11(14), p. 6340, Jul 2021. DOI
Ali Bakdur, Fumito Masui, Michal Ptaszynski, “Predicting Increase in Demand for Public Buses in University Students Daily Life Needs: Case Study Based on a City in Japan”, SUSTAINABILITY, 13(9), p. 5137, May 2021. DOI
Jagna Nieuważny, Karol Nowakowski, Michal Ptaszyński, Fumito Masui, Rafal Rzepka, Kenji Araki, “Does change in ethical education influence core moral values? Towards history- and culture-aware morality model with application in automatic moral reasoning”, Cognitive Systems Research, 66, pp. 89–99, Mar 2021. DOI
ニエウヴァジニ,ヤグナ,スタニスワヴァ, others, “A Study on Implementing of Culture, Religion and Time-Awareness to Machine Ethics Algorithms”, 2021
Rafal Rzepka, Jordi Vallverdú, Andre Wlodarczyk, Michal Ptaszynski, Pawel Dybala, “Preface”, CEUR Workshop Proceedings, 2935, pp. 1–3, 2021
Juuso Kalevi Kristian Eronen, Michal Ptaszynski, Fumito Masui, Aleksander Smywinski-Pohl, Gniewosz Leliwa, Michal Wroczynski, “Improving Classifier Training Efficiency for Automatic Cyberbullying Detection with Feature Density.”, CoRR, abs/2111.01689(5), p. 102616, 2021. DOI
Jagna Nieuwazny, Karol Nowakowski, Michal Ptaszynski, Fumito Masui, “Can you fool AI by doing a 180? - A case study on authorship analysis of texts by Arata Osada.”, Information Processing and Management, 58(5), p. 102644, 2021. DOI
Juuso Kalevi Kristian Eronen, Michal Ptaszynski, Fumito Masui, Aleksander Smywinski-Pohl, Gniewosz Leliwa, Michal Wroczynski, “Improving classifier training efficiency for automatic cyberbullying detection with Feature Density.”, Information Processing and Management, 58(5), p. 102616, 2021. DOI
Chia Zheng Lin, Michal Ptaszynski, Fumito Masui, Gniewosz Leliwa, Michal Wroczynski, “Machine Learning and feature engineering-based study into sarcasm and irony classification with application to cyberbullying detection.”, Information Processing and Management, 58(4), p. 102600, 2021. DOI
Yasuhiro Yoshida, Fumito Masui, Michal Ptaszynski, “Development of a dialogue-based guidance system for narrow area navigation.”, Information Processing and Management, 58(4), p. 102542, 2021. DOI

2020 (9)

Da Li, Rafal Rzepka, Michal Ptaszynski, Kenji Araki, “HEMOS: A novel deep learning-based fine-grained humor detecting method for sentiment analysis of social media”, Information Processing & Management, 57(6), p. 102290, Nov 2020. DOI
佐藤兼示, 桝井文人, ミハウプタシンスキ, 荒田真輝, 鈴木智之, “クラシファイドサイトにおけるユーザー投稿のクオリティーチェック自動化の検討”, 言語処理学会年次大会発表論文集(Web), 26th, 2020
“Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020 - System Demonstrations, Barcelona, Spain (Online), December 8-13, 2020”, COLING (Demonstrations), 2020
Ali Bakdur, Fumito Masui, Michal Ptaszynski, “Predicting University Students’ Public Transport Preferences for Sustainability Improvement.”, Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference, 1251 AISC, pp. 362–376, 2020. DOI
Kenji Ryu, Michal Ptaszynski, “Epistolary Education in 21st Century: A System to Support Composition of E-mails by Students to Superiors in Japanese.”, Proceedings of the 28th International Conference on Computational Linguistics, pp. 87–92, 2020. DOI
Chia Zheng Lin, Michal Ptaszynski, Fumito Masui, Gniewosz Leliwa, Michal Wroczynski, “A Study in Practical Solutions to Sarcasm Detection with Machine Learning and Knowledge Engineering Techniques.”, Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, 2600, 2020
Michal Ptaszynski, Fumito Masui, Naoto Ishii, “A method for automatic estimation of meaning ambiguity of emoticons based on their linguistic expressibility.”, Cognitive Systems Research, 59, pp. 103–113, 2020. DOI
Jagna Nieuważny, Fumito Masui, Michal Ptaszynski, Rafal Rzepka, Karol Nowakowski, “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”, Cognitive Systems Research, 59, pp. 329–344, Jan 2020. DOI
Yoko Nakajima, Michal Ptaszynski, Fumito Masui, Hirotoshi Honma, “Future prediction with automatically extracted morphosemantic patterns”, COGNITIVE SYSTEMS RESEARCH, 59, pp. 37–62, Jan 2020. DOI

2019 (21)

Michal E. Ptaszynski, Fumito Masui, “Brute force search method for cyberbullying detection”, Developing Safer Online Environments for Children: Tools and Policies for Combatting Cyber Aggression, pp. 339–384, Oct 2019. DOI
Yoko Nakajima, Keiya Takagi, Michal Ptaszynski, Hirotoshi Honma, Fumito Masui, “A Proposal of Prediction Method Using Word Polarity Information for Future Event Prediction Support System”, Proceedings - 2019 International Conference on Advanced Informatics: Concepts, Theory, and Applications, ICAICTA 2019, Sep 2019. DOI
Michal Ptaszynski, “CAO System Emoticon Parts Dataset with Emotion Labels.”, Mar 2019. DOI
Kobylinski, Łukasz, Ogrodniczuk, Maciej, Kocon, Jan, Marcinczuk, Michał, Smywinski-Pohl, Aleksander, Wołk, Krzysztof, Koržinek, Danijel, Ptaszynski, Michal, Pieciukiewicz, Agata, Dybała, Paweł, “PolEval 2019—the next chapter in evaluating Natural Language Processing tools for Polish”, 2019
Ptaszynski, Michal, Pieciukiewicz, Agata, Dybała, Paweł, “Results of the poleval 2019 shared task 6: First dataset and open shared task for automatic cyberbullying detection in polish twitter”, 2019
Karol Nowakowski, Michal Ptaszynski, Fumito Masui, Yoshio Momouchi, “Applying Support Vector Machines to POS tagging of the Ainu Language”, Proceedings of the Workshop on Computational Methods for Endangered Languages, 2(1), 2019. DOI
Fumito Masui, Hiromu Otani, Hitoshi Yanagi, Michal Ptaszynski, “Study on game information analysis for support to tactics and strategies in curling”, Communications in Computer and Information Science, 975, pp. 128–149, 2019. DOI
CHIA Zheng Lin, PTASZYNSKI Michal, MASUI Fumito, “Exploring Machine Learning Techniques for Irony Detection”, Proceedings of the Annual Conference of JSAI, JSAI2019, p. 2A4E203, 2019. DOI
Lempa, Pawe?, Lisowski, Edward, Masui, Fumito, Filo, Grzegorz, Ptaszynski, Michal, Domaga?a, Mariusz, Fabi?-Domaga?a, Joanna, “Quality Improvement of a Gear Transmission by Means of Genetic Algorithm”, Quality Production Improvement - QPI, 1(1), pp. 386–393, 2019
ARATA Masaki, MASUI Fumito, PTASZYNSKI Michal Edmond, “Automatic Evaluation for Cyberbullying Detection Method based on Statistical Scale”, Proceedings of the Annual Conference of JSAI, JSAI2019, p. 3Rin238, 2019. DOI
SAKAI Tomoaki, PTASZYNSKI Michal Edmund, MASUI Fumito, “Study on Potential of Automatic Emoticon Generation Based on Emoticon Parts”, Proceedings of the Annual Conference of JSAI, JSAI2019, p. 2E4OS903, 2019. DOI
LI Da, RZEPKA Rafal, PTASZYNSKI Michal, ARAKI Kenji, “Convolutional Neural Network for Chinese Sentiment Analysis Considering Chinese Slang Lexicon and Emoticons”, Proceedings of the Annual Conference of JSAI, JSAI2019, p. 2E4OS904, 2019. DOI
Lukasz Kobylinski, Maciej Ogrodniczuk, Jan Kocon, Michal Marcinczuk, Aleksander Smywinski-Pohl, Krzysztof Wolk, Danijel Korzinek, Michal Ptaszynski, Agata Pieciukiewicz, Pawel Dybala, “Evaluating Natural Language Processing tools for Polish during PolEval 2019.”, LCT, 13212 LNAI, pp. 303–321, 2019. DOI
Da Li, Rafal Rzepka, Michal Ptaszynski, Kenji Araki, “Emoji-Aware Attention-based Bi-directional GRU Network Model for Chinese Sentiment Analysis.”, 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)(LaCATODA/BtG@IJCAI), 2452, pp. 11–18, 2019
Michal Ptaszynski, Fumito Masui, Naoto Ishii, “Automatically Estimating Meaning Ambiguity of Emoticons.”, Biologically Inspired Cognitive Architectures 2019 - Proceedings of the 10th Annual Meeting of the BICA Society(BICA), 948, pp. 411–416, 2019. DOI
Jagna Nieuwazny, Fumito Masui, Michal Ptaszynski, Kenji Araki, Rafal Rzepka, Karol Nowakowski, “Emotional and Moral Impressions Associated with Buddhist Religious Terms in Japanese Blogs-Preliminary Analysis.”, Biologically Inspired Cognitive Architectures 2019 - Proceedings of the 10th Annual Meeting of the BICA Society(BICA), 948, pp. 387–392, 2019. DOI
Da Li, Rafal Rzepka, Michal Ptaszynski, Kenji Araki, “A Novel Machine Learning-based Sentiment Analysis Method for Chinese Social Media Considering Chinese Slang Lexicon and Emoticons.”, 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), 2328, pp. 88–103, 2019
Karol Nowakowski, Michal Ptaszynski, Fumito Masui, Yoshio Momouchi, “Improving Basic Natural Language Processing Tools for the Ainu Language.”, Information(Inf.), 10(11), p. 329, 2019. DOI
Karol Nowakowski, Michal Ptaszynski, Fumito Masui, “MiNgMatch - A Fast N-gram Model for Word Segmentation of the Ainu Language.”, Information(Inf.), 10(10), p. 317, 2019. DOI
Michal Ptaszynski, Pawel Lempa, Fumito Masui, Yasutomo Kimura, Rafal Rzepka, Kenji Araki, Michal Wroczynski, Gniewosz Leliwa, ““Brute-Force Sentence Pattern Extortion from Harmful Messages for Cyberbullying Detection””, Journal of the Association for Information Systems, 20(8), pp. 1075–1127, 2019. DOI
Akinori Abe, Rafal Rzepka, Michal Ptaszynski, “Language Sense and Communication on Computer.”, Adv. Hum. Comput. Interact., 2019, pp. 3081602–2, 2019. DOI

2018 (11)

Da Li, Rafal Rzepka, Michal Ptaszynski, Kenji Araki, “Emoticon-Aware Recurrent Neural Network Model for Chinese Sentiment Analysis”, Proceedings of the Ninth IEEE International Conference on Awareness Science and Technology (iCAST 2018), pp. 161–166, Sep 2018. DOI
柿山広樹, 桝井文人, 柳等, ミハウプタシンスキ, “Toward the Curling Informatics for Citizens League”, WCI2018論文集, 2018(2018), pp. 37–40, Jul 2018
Ali Bakdur, Fumito Masui, Michal Ptaszynski, “Big data analytics - Towards the enrichment of content tourism for revitalization of Japanese rural area”, MATEC Web of Conferences, 169, p. 01008, May 2018. DOI
Rafal, Rzepka, Takizawa, Mitsuru, Vallverdu, Jordi, PTASZYNSKI, Michal, Dybala, Pawel, Araki, Kenji, “FromWords to Emoticons: Deep Emotion Recognition in Text and Its Wider Implications”, International Journal of Computational Linguistics Research, 9(1), pp. 10–26, Mar 2018
Yoko Nakajima, Michal Ptaszynski, Hirotoshi Honma, Fumito Masui, “Future Reference Sentence Extraction in Support of Future Event Prediction”, International Journal of Computational Linguistics Research, 9(1), pp. 27–41, Mar 2018
Ptaszynski, Michal E, Masui, Fumito, “Automatic cyberbullying detection: Emerging research and opportunities: Emerging research and opportunities”, 2018
Lempa, Pawel, Ptaszynski, Michal, Masui, Fumito, “The Use of Genetic Algorithm to Optimize Quantitative Learner’s Motivation Model”, Technical Transactions, 115(4), pp. 189–194, 2018
Lempa, Pawel, Ptaszynski, Michal, Masui, Fumito, “The use of genetic algorithm to optimize quantitative learner’s motivation model: Wykorzystanie algorytmu genetycznego do optymalizacji ilościowego modelu motywacji ucznia”, Czasopismo Techniczne, 4, pp. 189–194, 2018. DOI
Michal Ptaszynski, Gniewosz Leliwa, Mateusz Piech, Aleksander Smywinski-Pohl, “Cyberbullying Detection - Technical Report 2/2018, Department of Computer Science AGH, University of Science and Technology.”, CoRR, abs/1808.00926, 2018
Michal Ptaszynski, Fumito Masui, Yasutomo Kimura, Rafal Rzepka, Kenji Araki, “Automatic Extraction of Harmful Sentence Patterns with Application in Cyberbullying Detection”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10930, pp. 349–362, 2018. DOI
Abiko Satoshi, Hasegawa Dai, Ptaszynski Michal, Nakamura Kenji, Sakuta Hiroshi, “Method for Estimation of Harmfulness of ID-Exchange BBS Based on Lexical Jargonizations”, Journal of Information Systms Society of Japan, 13(2), pp. 41–58, 2018. DOI

2017 (15)

Michal Ptaszynski, Fumito Masui, Yoko Nakajima, Yasutomo Kimura, Rafal Rzepka, Kenji Araki, “A Method for Detecting Harmful Entries on Informal School Websites Using Morphosemantic Patterns”, Advanced Computational Intelligence and Intelligent Informatics, 21(7), pp. 1189–1201, Nov 2017. DOI
奥村紀之, プタシンスキミハウ, ジェプカラファウ, 明石工業高等専門学校電気情報工学科, 北見工業大学, 北海道大学大学院情報科学研究科, “Research Trends of Kaomoji Analytics from Engineering and Psychological Points of View”, Journal of the Japanese Society for Artificial Intelligence, 32(3), pp. 342–349, May 2017. DOI
ジェプカラファウ, 奥村紀之, プタシンスキミハウ, 北海道大学大学院情報科学研究科, 明石工業高等専門学校電気情報工学科, 北見工業大学, “複数の世界をつなぐ顔 : 現代における絵記号の意味と可能性”, Journal of the Japanese Society for Artificial Intelligence, 32(3), pp. 350–355, May 2017. DOI
プタシンスキミハウ, 奥村紀之, ジェプカラファウ, 北見工業大学, 明石工業高等専門学校電気情報工学科, 北海道大学大学院情報科学研究科, “顔文字の現象および研究の概観 : 記号の遊びが科学されるようになった道”, Journal of the Japanese Society for Artificial Intelligence, 32(3), pp. 333–341, May 2017. DOI
卜部有記, ジェプカラファウ, プタシンスキミハウ, 北海道大学大学院情報科学研究科, 北海道大学大学院情報科学研究科, 北見工業大学, “A Survey on Emoticon Recommendation Technology”, Journal of the Japanese Society for Artificial Intelligence, 32(3), pp. 356–363, May 2017. DOI
Michal Ptaszynski, Pawel Dybala, Rafal Rzepka, Kenji Araki, Fumito Masui, “ML-Ask: Open Source Affect Analysis Software for Textual Input in Japanese”, Journal of Open Research Software, 1(16), p. 16, May 2017. DOI
Ptaszynski, Michal, Dybala, Pawel, Higuchi, Shinsuke, Rzepka, Rafal, Araki, Kenji, “Affect-as-Information Approach to a Sentiment Analysis Based Evaluation of Conversational Agents”, Proceedings of the 2008 International Conference on Intelligent Agents, Web Technologies & Internet Commerce (IAWTIC'08), pp. 901–906, Jan 2017
Yoko Nakajima, Michal Ptaszynski, Hirotoshi Honma, Fumito Masui, “A prototype method for future event prediction based on future reference sentence extraction”, CEUR Workshop Proceedings, 1926, pp. 42–49, 2017
Ptaszynski, Michal, Masui, Fumito, “Experiments with language combinatorics in text classification: lessons learned and future implications: Eksperymenty z zastosowaniem kombinatoryki j?zykowej do klasyfikacji tekstu: dotychczasowe wnioski i implikacje na przysz?o??”, TECHNICAL TRANSACTIONS, pp. 183–197, 2017. DOI
石井直人, 桝井文人, PTASZYNSKI Michal, “Automatic estimation of meaning ambiguity of emoticons based on linguistic expressibility”, 人工知能学会全国大会論文集(CD-ROM), JSAI2017, p. 2O2OS22a1, 2017. DOI
PTASZYNSKI Michal, ITO Yuka, NOWAKOWSKI Karol, HONMA Hirotoshi, NAKAJIMA Yoko, MASUI Fumito, “Combining Multiple Dictionaries to Improve Tokenization of Ainu Language”, Proceedings of the Annual Conference of JSAI, JSAI2017, p. 1L15, 2017. DOI
Karol Nowakowski, Michal Ptaszynski, Fumito Masui, “Towards Better Text Processing Tools for the Ainu Language.”, Human Language Technology. Challenges for Computer Science and Linguistics - 8th Language and Technology Conference(LCT), 12598 LNAI, pp. 131–145, 2017. DOI
Michal Ptaszynski, Juuso Kalevi Kristian Eronen, Fumito Masui, “Learning Deep on Cyberbullying is Always Better Than Brute Force.”, Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop co-located with the 26th International Joint Conference on Artificial Intelligence(LaCATODA@IJCAI), 1926, pp. 3–10, 2017
Hiromu Otani, Fumito Masui, Hitoshi Yanagi, Michal Ptaszynski, “Advances in Curling Game Information Analysis by Considering Starting Position.”, Proceedings of the 5th International Congress on Sport Sciences Research and Technology Support(icSPORTS), pp. 89–95, 2017. DOI
Michal Ptaszynski, Fumito Masui, Rafal Rzepka, Kenji Araki, “Subjective? Emotional? Emotive?: Language Combinatorics based Automatic Detection of Emotionally Loaded Sentences”, Linguistics and Literature Studies, 5(1), pp. 36–50, Jan 2017

2016 (19)

Michal Ptaszynski, Fumito Masui, Yoko Nakajima, Yasutomo Kimura, Rafal Rzepka, Kenji Araki, “Detecting Cyberbullying with Morphosemantic Patterns”, Joint 8th International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems (SCIS-ISIS 2016), pp. 248–255, Aug 2016
Pawel Dybala, Motoki Yatsu, Michal Ptaszynski, Rafal Rzepka, Kenji Araki, “Towards Joking, Humor Sense Equipped and Emotion Aware Conversational Systems”, Advances in Affective and Pleasurable Design : Proceedings of the AHFE 2016 International Conference on Affective and Pleasurable Design", 483, pp. 657–669, Jul 2016. DOI
Radoslaw Komuda, Michal Ptaszynski, Rafal Rzepka, Kenji Araki, “Recognizing and Converting Cockney Rhyming Slang for Cyberbullying And Crime Detection”, Proceedings of Language Sense on Computers IJCAI 2016 Workshop, pp. 67–72, Jul 2016
Suzuha Hatakeyama, Fumito Masui, Michal Ptaszynski, Kazuhide Yamamoto, “Statistical Analysis of Automatic Seed Word Acquisition to Improve Harmful Expression Extraction in Cyberbullying Detection”, International Journal of Engineering and Technology Innovation, 6(2), pp. 165–172, Jun 2016
Michal Ptaszynski, Fumito Masui, Taisei Nitta, Suzuha Hatakeyama, Yasutomo Kimura, Rafal Rzepka, Kenji Araki, “Sustainable cyberbullying detection with category-maximized relevance of harmful phrases and double-filtered automatic optimization”, International Journal of Child-Computer Interaction, 8, pp. 15–30, May 2016. DOI
Yoko Nakajima, Michal Ptaszynski, Hirotoshi Honma, Fumito Masui, “A Method for Extraction of Future Reference Sentences Based on Semantic Role Labeling”, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E99D(2), pp. 514–524, Feb 2016. DOI
Ptaszynski, Michal, Masui, Fumito, Nitta, Taisei, Hatakeyama, Suzuha, Kimura, Yasutomo, Rzepka, Rafal, Araki, Kenji, “International Journal of Child-Computer Interaction”, 2016
Nobuta, Yuka, Masui, Fumito, Ptaszynski, Michal, “Modeling Learning motivation of students based on analysis of class evaluation questionnaire”, Technical Transactions, Mechanics Issue 2-M((7) 2015), pp. 193–201, 2016
PTASZYNSKI, Michal, Lempa, Pawel, Masui, Fumito, “A modular system for support of experiments in text classification”, Technical Transactions, Mechanics Issue 2-M(7(2015)), pp. 230–243, 2016
劉真真, 桝井文人, プタシンスキミハウ, “中文スパムレビュー検出のためのショッピングサイトレビュー分析”, 人工知能学会全国大会論文集, JSAI2016, p. 2P112in1, 2016. DOI
畠山鈴生, 桝井文人, プタシンスキミハウ, 山本和英, “有害表現抽出に対する種単語の影響に関する一考察”, 人工知能学会全国大会論文集, JSAI2016, p. 3P16in2, 2016. DOI
石井直人, 桝井文人, プタシンスキミハウ, “顔文字と日本語オノマトペの関連性分析”, 人工知能学会全国大会論文集, JSAI2016, p. 3H4OS17b2, 2016. DOI
Hiromu Otani, Fumito Masui, Kohsuke Hirata, Hitoshi Yanagi, Michal Ptaszynski, “Analysis of Curling Team Strategy and Tactics using Curling Informatics”, ICSPORTS: PROCEEDINGS OF THE 4TH INTERNATIONAL CONGRESS ON SPORT SCIENCES RESEARCH AND TECHNOLOGY SUPPORT, pp. 182–187, 2016. DOI
Komuda, Radoslaw, Ptaszynski, Michal, Rzepka, Rafal, Araki, Kenji, “Crime Detection in Text for a Better Moral Reasoning System”, 日本認知科学会大会発表論文集(CD-ROM), 33rd, p. ROMBUNNO.P1‐12, 2016
LEMPA Pawel, PTASZYNSKI Michal, MASUI Fumito, “A Survey on the Use of Genetic Algorithms in Natural Language Processing”, 言語処理学会年次大会発表論文集(Web), 22nd, p. P2‐3 (WEB ONLY), 2016
PTASZYNSKI Michal, NOWAKOWSKI Karol, MOMOUCHI Yoshio, MASUI Fumito, “Comparing Multiple Dictionaries to Improve Part-of-Speech Tagging of Ainu Language”, 言語処理学会年次大会発表論文集(Web), 22nd, p. P16‐2 (WEB ONLY), 2016
中島陽子, 本間宏利, 桝井文人, “An Extraction Method for Future Reference Expressions Using Morphological and Semantic Patterns”, 釧路工業高等専門学校紀要, p. 42‐49 (WEB ONLY), Jan 2016
Fumito Masui, Kohsuke Hirata, Hiromu Otani, Hitoshi Yanagi, Michal Ptaszynsk, “Informatics to support tactics and strategies in curling”, International Journal of Automation Technology, 10(2), pp. 244–252, 2016. DOI
Yoko Nakajima, Michal Ptaszynski, Hirotoshi Honma, Fumito Masui, “Automatic extraction of future references from news using morphosemantic patterns with application to future trend prediction.”, AI Matters, 2(4), pp. 13–15, 2016. DOI

2015 (9)

Michal Ptaszynski, Fumito Masui, Yasutomo Kimura, Rafal Rzepka, Kenji Araki, “Extracting Patterns of Harmful Expressions for Cyberbullying Detection”, Proceedings of the 7th Language and Technology Conference - LTC 2015, pp. 370–375, Nov 2015
HIRATA Kohsuke, MASUI Fumito, OHTANI Hiromu, YANAGI Hitoshi, PTASZYNSKI Michal, “D-5 Analysis of Player’s Characteristics based on Curling Sport Databases : Analysis of Characteristics of Position based on Shot Scores”, Symposium on sports and human dynamics, 2015, pp. “D–5-1”-“D-5-6”, Oct 2015. DOI
NOBUTA, YUKA, MASUI, FUMITO, PTASZYNSKI, MICHAL, “MODELING LEARNING MOTIVATION OF STUDENTS BASED ON ANALYSIS OF CLASS EVALUATION QUESTIONNAIRE MODELOWANIE MOTYWACJI DO NAUKI U STUDENTÓW NA PODSTAWIE ANALIZY”, Editorial Board Mechanics, p. 193, 2015
羅文, 桝井文人, Michal Ptaszynski, “オノマトペに着目した日中言語翻訳に関する研究”, Webインテリジェンスとインタラクション研究会予稿集, 6, pp. 72–73, 2015. DOI
Yoko Nakajima, Fumito Masui, Hiroshi Yamada, Michal Ptaszynski, Hirotoshi Honma, “Automatic extraction of references to future events from news articles using semantic and morphological information”, IJCAI International Joint Conference on Artificial Intelligence, 2015-January, pp. 4385–4386, 2015
前田康成, PTASZYNSKI Michal, 後藤文太朗, 升井洋志, 桝井文人, 亀丸俊一, 鈴木正清, “北海道北見市におけるペットツーリズムに関する一考察—A note on pet tourism in Kitami City”, 観光と情報 : 観光情報学会誌, 11(1), pp. 71–86, 2015
Fumito Masui, Michal Ptaszynski, Ryotaro Kawaishi, Yasunari Maeda, Fumitaro Goto, Hiroshi Masui, “A system for recommendation of accommodation facilities adaptable to user interest”, Intelligent Systems Reference Library, 90, pp. 107–118, 2015. DOI
Michal Ptaszynski, Fumito Masui, Yasutomo Kimura, Rafal Rzepka, Kenji Araki, “Brute Force Works Best Against Bullying.”, Proceedings of the IJCAI 2015 Joint Workshop on Constraints and Preferences for Configuration and Recommendation and Intelligent Techniques for Web Personalization co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2, 1440, 2015
Fumito Masui, Hiroki Ueno, Hitoshi Yanagi, Michal Ptaszynski, “Toward Curling Informatics - Digital Scorebook Development and Game Information Analysis”, 2015 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND GAMES (CIG), pp. 481–488, 2015. DOI

2014 (18)

PHAM XUAN QUYEN, MASUI Fumito, Michal Ptaszynski, “FAN-14-033 V-Murasaki: A system to Acquire Vietnamese Word Sense Description Based on Figurative Description”, FAN Symposium : Intelligent System Symposium-fuzzy, AI, neural network applications technologies, 2014(24), pp. 148–151, Sep 2014
NAKAJIMA Yoko, PTASZYNSKI Michal, HONMA Hirotoshi, MASUI Fumito, “FAN-14-029 Extraction of Future Reference Expressions in Trend Information”, FAN Symposium : Intelligent System Symposium-fuzzy, AI, neural network applications technologies, 2014(24), pp. 129–134, Sep 2014
Bartłomiej Grześkiewicz, Krzysztof Ptaszyński, Michał Kotkowiak, “Near and Far-Field Properties of Nanoprisms with Rounded Edges”, Plasmonics, 9(3), pp. 607–614, Mar 2014. DOI
小山聡, 栗原正仁, 荒木健治, “大規模コーパス及び感情コーパスに関する調査”, コンピュータソフトウェア, 2014
Ptaszynski, Michal, Masui, Fumito, Rzepka, Rafal, Araki, Kenji, “First glance on pattern-based language modeling”, Language Acquisition and Understanding Research Group Technical Reports, 2014
PTASZYNSKI Michal, RZEPKA Rafal, OYAMA Satoshi, KURIHARA Masahito, Satoshi Oyama, Hisashi Kashima, Yuko Sakuraia, Shigeo Matsubara, “Editors’ Introduction to “Human Computation and Crowdsourcing”(Human Computation and Crowdsourcing)”, Computer Software, 29(1), pp. 2–3, Jan 2014. DOI
福島裕斗, 桝井文人, Ptaszynski Michal, 中島陽子, 渡辺桂祐, 河石良太郎, 新田大征, 佐藤亮弥, “Classification of Tweet Logs Based on Directness Derived from Surface Expressions”, Proceedings of the Annual Conference of JSAI, JSAI2014, p. 3O111in, 2014. DOI
Yoko Nakajima, Michal Ptaszynski, Hirotoshi Honma, Fumito Masui, “Investigation of Future Reference Expressions in Trend Information.”, 2014 AAAI Spring Symposia, SS-14-01, pp. 31–38, 2014
Yuuto Fukushima, Fumito Masui, Michal Ptaszynski, Yoko Nakajima, Keisuke Watanabe, Ryotaro Kawaishi, Taisei Nitta, Ryoya Sato, “Macroanalysis of Microblogs: An Empirical Study of Communication Strategies on Twitter During Disasters and Elections.”, 2014 AAAI Spring Symposia, SS-14-01, pp. 2–9, 2014
PTASZYNSKI Michal, HASEGAWA Dai, MASUI Fumito, SAKUTA Hiroshi, ADACHI Eijiro, “How Differently Do We Talk? A Study of Sentence Patterns in Groups of Different Age, Gender and Social Status”, 言語処理学会年次大会発表論文集(Web), 20th, p. P1-1 (WEB ONLY), 2014
PTASZYNSKI Michal, MASUI Fumito, RZEPKA Rafal, ARAKI Kenji, “Automatic Extraction of Emotive and Non-emotive Sentence Patterns”, 言語処理学会年次大会発表論文集(Web), 20th, p. P7-17 (WEB ONLY), 2014
PTASZYNSKI Michal, RZEPKA Rafal, 小山聡, 栗原正仁, 荒木健治, “A Survey on Large Scale Corpora and Emotion Corpora”, コンピュータソフトウェア, 31(2), pp. 2.151-2.167 (J-STAGE)–2_167, 2014. DOI
Ptaszynski Michal, Rzepka Rafal, Oyama Satoshi, Kurihara Masahito, Araki Kenji, “A Survey on Large Scale Corpora and Emotion Corpora”, IMT, 9(4), pp. 429–445, 2014. DOI
Michal Ptaszynski, Yoshio Momouchi, Jacek Maciejewski, Pawel Dybala, Rafal Rzepka, Kenji Araki, “Annotating Japanese Blogs with Syntactic and Affective Information.”, Mining User Generated Content., pp. 189–221, 2014
Michal Ptaszynski, Fumito Masui, Rafal Rzepka, Kenji Araki, “Emotive or Non-emotive: That is The Question.”, Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA@ACL 2014, June 27, 2014, Baltimore, Maryland, USA, pp. 59–65, 2014. DOI
Yasutomo Kimura, Fumitoshi Ashihara, Arnaud Jordan, Keiichi Takamaru, Yuzu Uchida, Hokuto Ototake, Hideyuki Shibuki,Michal Ptaszynski, Rafal Rzepka, Fumito Masui, Kenji Araki, “Using Time Periods Comparison for Eliminating Chronological Discrepancies between Question and Answer Candidates at QALab NTCIR11 Task.”, Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies, NTCIR-11, National Center of Sciences, Tokyo, Japan, December 9-12, 2014, 2014
Michal Ptaszynski, Fumito Masui, Rafal Rzepka, Kenji Araki, “Detecting emotive sentences with pattern-based language modelling”, KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014, 35(C), pp. 484–493, 2014. DOI
Michal Ptaszynski, Rafal Rzepka, Kenji Araki, Yoshio Momouchi, “Automatically annotating a five-billion-word corpus of Japanese blogs for sentiment and affect analysis”, COMPUTER SPEECH AND LANGUAGE, 28(1), pp. 38–55, Jan 2014. DOI

2013 (9)

Rzepka, Rafal, Higuchi, Shinsuke, Ptaszynski, Michal, Araki, Kenji, “Straight thinking straight from the net - on the web-based intelligent talking toy development”, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), pp. 2172–2176, Aug 2013
Ptaszynski, Michal, Masui, Fumito, Dybala, Pawel, Rzepka, Rafal, Araki, Kenji, “Open source affect analysis system with extensions”, Proceedings of iHAI, Aug 2013
Taisei Nitta, Fumito Masui, Michal Ptaszynski, Yasutomo Kimura, Rafal Rzepka, Kenji Araki, “Cyberbullying Detection Based on Category Relevance Maximization”, 20th International Conference on Language Processing and Intelligent Information Systems, Jun 2013
Michal Ptaszynski, Taisei Nitta, Fumito Masui, Yasutomo Kimura, Rafal Rzepka, Kenji Araki, “Automatic detection of cyberbullying with the use of Natural Language Processing methods”, A open lecture presented on the Faculty of Mathematics and Computer Science of Adam Mickiewicz University, Jun 2013
Michal Ptaszynski, Pawel Dybala, Michal Mazur, Rafal Rzepka, Kenji Araki, Yoshio Momouchi, “Towards computational fronesis: Verifying contextual appropriateness of emotions”, International Journal of Distance Education Technologies, 11(2), pp. 16–47, Apr 2013. DOI
Dybala, Pawel, Ptaszynski, Michal, Rzepka, Rafal, Araki, Kenji, Sayama, Kohichi, “Metaphor, humor and emotion processing in human-computer interaction”, International Journal of Computational Linguistics Research, 4(1), pp. 1–13, 2013
新田大征, 桝井文人, Ptaszynski Michal, 木村泰知, Rzepka Rafal, 荒木健治, “Detection of Harmful Entries on Informal School Website Based on Maximization of Category Relevance”, Proceedings of the Annual Conference of JSAI, JSAI2013, p. 2039in, 2013. DOI
Taisei Nitta, Fumito Masui, Michal Ptaszynski, Yasutomo Kimura, Rafal Rzepka, Kenji Araki, “Detecting Cyberbullying Entries on Informal School Websites Based on Category Relevance Maximization.”, Sixth International Joint Conference on Natural Language Processing, IJCNLP 2013, Nagoya, Japan, October 14-18, 2013, pp. 579–586, 2013
Michal Ptaszynski, Hiroaki Dokoshi, Satoshi Oyama, Rafal Rzepka, Masahito Kurihara, Kenji Araki, Yoshio Momouchi, “Affect analysis in context of characters in narratives”, EXPERT SYSTEMS WITH APPLICATIONS, 40(1), pp. 168–176, Jan 2013. DOI

2012 (8)

Michal Ptaszynski, Yoshio Momouchi, “Part-of-speech tagger for Ainu language based on higher order Hidden Markov Model”, EXPERT SYSTEMS WITH APPLICATIONS, 39(14), pp. 11576–11582, Oct 2012. DOI
Michal Ptaszynski, Jacek Maciejewski, Pawel Dybala, Rafal Rzepka, Kenji Araki, Yoshio Momouchi, “Science of Emoticons: Research Framework and State of the Art in Analysis of kaomoji-type Emoticons”, “Speech, Image, and Language Processing for Human Computer Interaction: Multi-Modal Advancements”, pp. 234–260, Apr 2012. DOI (Invited)
Michal Ptaszynski, “Robust NLP for Real-world Data : 1. Emoticon Processing - How to Non-trivially Make a Computer Understand Trivial Expressions -”, 情報処理, 53(3), pp. 204–210, Feb 2012
Michal Ptaszynski, Pawel Dybala, Rafal Rzepka, Kenji Araki, Yoshio Momouchi, “YACIS: A five-billion-word corpus of Japanese Blogs fully annotated with syntactic and affective information”, AISB/IACAP World Congress 2012: Linguistic and Cognitive Approaches to Dialogue Agents, Part of Alan Turing Year 2012, pp. 40–49, 2012
Pawel Dybala, Michal Ptaszynski, Rafal Rzepka, Kenji Araki, Kohichi Sayama, “Emotion valence shifts in humorous metaphor misunderstandings generation”, AISB/IACAP World Congress 2012: Linguistic and Cognitive Approaches to Dialogue Agents, Part of Alan Turing Year 2012, pp. 50–54, 2012
Dybala Pawel, Ptaszynski Michal, Rzepka Rafal, ARAKI KENJI, Sayama Kohichi, “Beyond Conventional Recognition: Concept of a Conversational System Utilizing Metaphor Misunderstanding as a Source of Humor”, Proceedings of the Annual Conference of JSAI, JSAI2012, p. 3P1IOS2a5, 2012. DOI
Pawel Dybala,Michal Ptaszynski, Kohichi Sayama, “A Step Towards Emotion Aware Joking AI: Multiagent Humor-Equipped Conversational System.”, Agents and Ambient Intelligence - Achievements and Challenges in the Intersection of Agent Technology and Ambient Intelligence, pp. 289–326, 2012. DOI
Michal Ptaszynski, Rafal Rzepka, Kenji Araki, Yoshio Momouchi, “Automatically Annotating A Five-Billion-Word Corpus of Japanese Blogs for Affect and Sentiment Analysis.”, Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis, WASSA@ACL 2012, July 12, 2012, Jeju Island, Republic of Korea, pp. 89–98, 2012

2011 (5)

堂腰, 裕明, 小山, 聡, 栗原, 正仁, ジェプカ, ラファウ, 荒木, 健治, ミハウ, プタシンスキ, “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”, 情報処理北海道シンポジウム講演論文集, 2011, pp. 223–224, Oct 2011
Ptaszynski, Michal, Rzepka, Rafal, Momouchi, Yoshio, “Language Combinatorics: A Sentence Pattern Extraction Architecture Based on Combinatorial Explosion”, International Journal of Computational Linguistics, 2(1), pp. 24–36, Aug 2011
Ptaszynski, Michal E, “Emotion Awareness in Dialog Agents: Affect Analysis of Textual Input Utterance and its Application in Human-Computer Interaction”, (No Title), 2011
PTASZYNSKI Michal, “Affect Analysis of Textual Input Utterance in Japanese and Its Application in Human-Computer Interaction(Natural Language Processing,Doctorial Theses on Aritifical Intelligence)”, Journal of the Japanese Society for Artificial Intelligence, 26(1), p. 94, Jan 2011. DOI
Pawel Dybala,Michal Ptaszynski, Kohichi Sayama, “Reducing Excessive Amounts of Data: Multiple Web Queries for Generation of Pun Candidates.”, Adv. Artificial Intellegence, 2011, pp. 107310:1-107310:12–12, 2011. DOI

2010 (20)

Pawel Dybala, Michal Ptaszynski, Rafal Rzepka, Kenji Araki, “EVALUATING SUBJECTIVE ASPECTS OF HCI ON AN EXAMPLE OF A NON-TASK ORIENTED CONVERSATIONAL SYSTEM”, INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 19(6), pp. 819–856, Dec 2010. DOI
Ptaszynski Michal, Rzepka Rafal, Araki Kenji, “On the Need for Context Processing in Affective Computing”, Proceedings of the Fuzzy System Symposium, 26, pp. 920–924, Sep 2010. DOI
Komuda, Radoslaw, Ptaszynski, Michal, Momouchi, Yoshio, Rzepka, Rafal, Araki, Kenji, “Machine Moral Development : Moral Reasoning Agent Based on Wisdom of Web- Crowd and Emotions”, International Journal of Computational Linguistics Research, 1(3), pp. 155–163, Sep 2010
Ptaszynski, Michal, Dybala, Pawel, Matsuba, Tatsuaki, Masui, Fumito, Rzepka, Rafal, Araki, Kenji, Momouchi, Yoshio, “In the Service of Online Order : Tackling Cyber-Bullying with Machine Learning and Affect Analysis”, International Journal of Computational Linguistics Research, 1(3), pp. 135–154, Sep 2010
Dybala, Pawel, Ptaszynski, Michal, Rzepka, Rafal, Araki, Kenji, “Extending the Chain : Humor and Emotions in Human Computer Interaction”, International Journal of Computational Linguistics Research, 1(3), pp. 116–125, Sep 2010
PTASZYNSKI Michal, DYBALA Pawel, RZEPKA Rafal, ARAKI Kenji, “An Automatic Evaluation Method for Conversational Agents Based on Affect-as-Information Theory”, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 22(1), pp. 73–89, Feb 2010. DOI
Michal Ptaszynski, Pawel Dybala, Wenhan Shi, Rafal Rzepka, Kenji Araki, “Contextual affect analysis: A system for verification of emotion appropriateness supported with Contextual Valence Shifters”, International Journal of Biometrics, 2(2), pp. 134–154, Feb 2010. DOI
Ptaszynski, Michal, Dybala, Pawel, Rzepka, Rafal, ARAKI, Kenji, “特集感情”, 知能と情報: 日本知能情報ファジィ学会誌: journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 2010
Ptaszynski, Michal, Dybala, Pawel, Higuhi, Shinsuke, Shi, Wenhan, Rzepka, Rafal, Araki, Kenji, “T “wards S “cialized Machines: Em “ti “ns and Sense “f Hum “ur in C “nversati “nal Agents”, Web intelligence and intelligent agents, 173, 2010
Lempa, Pawel, Ptaszynski, Michal, Masui, Fumito, “A Survey on the Use of Genetic Algorithms in Natural Language Processing”, Advanced Robotics, 24(5-6), p. 739761, 2010
Michal Ptaszynski, Pawel Dybala, Rafal Rzepka, Kenji Araki, “Forgetful and emotional: Recent progress in development of dynamic memory management system for conversational agents”, Proceedings of the 1st International Symposium on Linguistic and Cognitive Approaches to Dialog Agents - A Symposium at the AISB 2010 Convention, pp. 32–38, 2010
Radoslaw Komuda, Michal Ptaszynski, Rafal Rzepka, Kenji Araki, “An idea of a web-crowd based moral reasoning agent”, Proceedings of the 1st International Symposium on Linguistic and Cognitive Approaches to Dialog Agents - A Symposium at the AISB 2010 Convention, pp. 17–19, 2010
Michal Ptaszynski, Pawel Dybala, Tatsuaki Matsuba, Fumito Masui, Rafal Rzepka, Kenji Araki, “Machine learning and affect analysis against cyber-bullying”, Proceedings of the 1st International Symposium on Linguistic and Cognitive Approaches to Dialog Agents - A Symposium at the AISB 2010 Convention, pp. 7–16, 2010
Pawel Dybala, Michal Ptaszynski, Rafal Rzepka, Kenji Araki, “Chain of events: Multi-stage approach to humor and emotions in HCI”, Proceedings of the 1st International Symposium on Linguistic and Cognitive Approaches to Dialog Agents - A Symposium at the AISB 2010 Convention, pp. 53–58, 2010
Rzepka Rafal, Higuchi Shinsuke, Ptaszynski Michal, Dybala Pawel, Araki Kenji, “When Your Users Are Not Serious Using Web-based Associations, Affect and Humor for Generating Appropriate Utterances for Inappropriate Input:Using Web-based Associations, Affect and Humor for Generating Appropriate Utterances for Inappropriate Input”, Transactions of the Japanese Society for Artificial Intelligence, 25(1), pp. 114–121, 2010. DOI
Rzepka Rafal, Higuchi Shinsuke, Ptaszynski Michal, Dybala Pawel, Araki Kenji, “When Your Users Are Not Serious:Using Web-based Associations, Affect and Humor for Generating Appropriate Utterances for Inappropriate Input”, IMT, 5(1), pp. 216–223, 2010. DOI
Pawel Dybala,Michal Ptaszynski, Rafal Rzepka, Kenji Araki, “Multi-humoroid: joking system that reacts with humor to humans’ bad moods.”, 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), Toronto, Canada, May 10-14, 2010, Volume 1-3, 1, pp. 1433–1434, 2010
Michal Ptaszynski, Jacek Maciejewski, Pawel Dybala, Rafal Rzepka, Kenji Araki, “CAO: A Fully Automatic Emoticon Analysis System”, PROCEEDINGS OF THE TWENTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-10), 2, pp. 1026–1032, 2010. DOI
Michal Ptaszynski, Jacek Maciejewski, Pawel Dybala, Rafal Rzepka, Kenji Araki, “CAO: A Fully Automatic Emoticon Analysis System Based on Theory of Kinesics”, IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 1(1), pp. 46–59, Jan 2010. DOI
Pawel Dybala, Michal Ptaszynski, Jacek Maciejewski, Mizuki Takahashi, Rafal Rzepka, Kenji Araki, “Multiagent system for joke generation: Humor and emotions combined in human-agent conversation”, JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, 2(1), pp. 31–48, 2010. DOI

2009 (13)

Pawel Dybala, Michal Ptaszynski, Rafal Rzepka, Kenji Araki, “Activating Humans with Humor - A Dialogue System That Users Want to Interact with”, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E92D(12), pp. 2394–2401, Dec 2009. DOI
PTASZYNSKI Michal, DYBALA Pawel, SHI Wenhan, RZEPKA Rafal, ARAKI Kenji, “A System for Affect Analysis of Utterances in Japanese Supported with Web Mining”, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 21(2), pp. 194–213, Apr 2009. DOI
Dybala, Pawel, PtaszynsNi, M, RzepNa, R, AraNi, K, “When Should Computers JoNe”, Concept of Emotiveness Analysis Based Timing Algorithm for HumorYEquipped Conversational Systems, NLP2009, Tottori, Japan, 542Y545, 2009
Pawel Dybala, Michal Ptaszynski, Rafal Rzepka, Kenji Araki, “Getting closer to human level human-likeness and its relation to humor in non-task oriented dialogue systems”, Proceedings of the IASTED International Conference on Computational Intelligence, CI 2009, pp. 7–14, 2009
Michal Ptaszynski, Pawel Dybala, Wenhan Shi, Rafal Rzepka, Kenji Araki, “Conscience of blogs: Verifying contextual appropriateness of emotions based on blog contents”, Proceedings of the IASTED International Conference on Computational Intelligence, CI 2009, pp. 1–6, 2009
PTASZYNSKI Michal, “Ideas for Using Large-Scale Corpora to Improve Verification of Emotion Appropriateness in Japanese”, Proceedings of The Joint GCOE Symposium for Cultivating Young Researchers, Hokkaido University, Sapporo, Japan, September 30 October 1, 2009, 2009
PTASZYNSKI Michal, “Affecting Corpora : Experiments with Automatic Affect Annotation System-A Case Study of the 2channel Forum-”, Proceedings of The Conference of the Pacific Association for Computational Linguistics 2009 (PACLING-09), Hokkaido University, Sapporo, Japan, September 1-4, pp. 223–228, 2009
PTASZYNSKI Michal, “Contextual Valence Shifters Supporting Affect Analysis of Utterances in Japanese”, Proceedings of The Fifteenth Annual Meeting of The Association for Natural Language Processing (NLP2009), 15th, pp. 825–828, 2009
Rafal Rzepka, Wenhan Shi, Michal Ptaszynski, Pawel Dybala, Shinsuke Higuchi, Kenji Araki, “Serious processing for frivolous purpose - A chatbot using web-mining supported affect analysis and pun generation”, International Conference on Intelligent User Interfaces, Proceedings IUI, pp. 487–488, 2009. DOI
Michal Ptaszynski, Pawel Dybala, Wenhan Shi, Rafal Rzepka, Kenji Araki, “Towards Context Aware Emotional Intelligence in Machines: Computing Contextual Appropriateness of Affective States”, 21ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-09), PROCEEDINGS, pp. 1469–1474, 2009
Pawel Dybala, Michal Ptaszynski, Rafal Rzepka, Kenji Araki, “Humorized Computational Intelligence towards User-Adapted Systems with a Sense of Humor”, APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS, 5484, pp. 452–461, 2009. DOI
Pawel Dybala,Michal Ptaszynski, Rafal Rzepka, Kenji Araki, “Humoroids: conversational agents that induce positive emotions with humor.”, 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), Budapest, Hungary, May 10-15, 2009, Volume 2, 2, pp. 1171–1172, 2009
Michal Ptaszynski, Rafal Rzepka, Kenji Araki, “A Pragmatic Approach to Implementation of Emotional Intelligence in Machines.”, Biologically Inspired Cognitive Architectures, Papers from the 2009 AAAI Fall Symposium, Arlington, Virginia, USA, November 5-7, 2009, FS-09-01, pp. 101–102, 2009

2008 (8)

Shi Wenhan, Ptaszynski Michal, Rzepka Rafal, Araki Kenji, “Emotive Information Discovery from User Textual Input Using Emotion Expression Element and Web Mining”, Technical report of IEICE. Thought and language, 108(353), pp. 31–34, Dec 2008
Ptaszynski, Michal, Dybala, P, Shi, W, Rzepka, R, Araki, K, “Disentangling emotions from the Web”, Internet in the service of affect analysis. KEAS, 8, pp. 51–56, 2008
PTASZYNSKI Michal, “Effective Analysis of Emotiveness in Utterances Based on Features of Lexical and Non-Lexical Layers of Speech”, Proceedings of The Fourteenth Annual Meeting of The Association for Natural Language Processing, 2008, 14th, pp. 171–174, 2008
PTASZYNSKI Michal, “Double Standpoint Evaluation Method for Affect Analysis Systems”, Proceedings of JSAI2008, JSAI08, p. 206, 2008. DOI
Rafal Rzepka, Shinsuke Higuchi, Michal Ptaszynski, Kenji Araki, “Straight Thinking Straight From The Net - On The Web-Based Intelligent Talking Toy Development”, 2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), VOLS 1-6, pp. 2171–2175, 2008. DOI
Michal Ptaszynski, Pawel Dybala, Shinsuke Higuchi, Rafal Rzepka, Kenji Araki, “Affect as information about users’ attitudes to conversational agents”, Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008, pp. 495–500, 2008. DOI
Michal Ptaszynski, Pawel Dybala, Shinsuke Higuchi, Rafal Rzepka, Kenji Araki, “Affect-as-Information Approach to a Sentiment Analysis Based Evaluation of Conversational Agents”, 2008 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING CONTROL & AUTOMATION, VOLS 1 AND 2, pp. 901–906, 2008. DOI
Pawel Dybala, Michal Ptaszynski, Shinsuke Higuchi, Rafal Rzepka, Kenji Araki, “Humor Prevails! Implementing a Joke Generator into a Conversational System”, AI 2008: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 5360, pp. 214–225, 2008. DOI

2007 (3)

PTASZYNSKI Michal, “Lexical analisis of emotiveness in utterances for automatic joke generation (メディア工学)”, ITE Technical Report, 31(47), pp. 39–42, Oct 2007
PTASZYNSKI Michal, “A dynamic memory management system based on forgetting and recalling”, Proceedings of 2007 Joint Convention Record, The Hokkaido Chapters of the Institutes of Electrical and Information Engineers, Japan, 2007, pp. 295–296, 2007
PTASZYNSKI Michal, “The idea of dynamic memory management system based on a for-getting-recalling algorithm with emotive analysis”, Language Acquisition and Understanding (LAU) Technical Report, pp. 12–16, 2007

2006 (5)

Michal, PTASZYNSKI, “" Moeru gengo-Intanetto kei-jiban no ue no nihongo kaiwa ni okeru kanjohyogen no kozo to kigorontekikino no bunseki-" 2channeru" denshikeijiban o rei toshite-"(Boisterous language. Analysis of structures and semiotic functions of emotive expressions in conversation on Japanese Internet bulletin board forum-2channel-)”, MA Dissertation, UAM, 2006
Ptaszynski, Michal, “" Moeru gengo-Intanetto kei-jiban no ue no nihongo kaiwa ni okeru kanjohyogen no kozo to kigorontekikino no bunseki-" 2channeru" denshikeijiban o rei toshite-"(Boisterous language. Analysis of structures and semiotic functions of emotive expressions in conversation on Japanese Internet bulletin board forum-2channel-)”, MA Dissertation, UAM, 2006
Ptaszyński, Michał, “Moeru gengo-Intānetto keijiban no ue no nihongo kaiwa ni okeru kanjōhyōgen no kōzō to kigōrontekikinō no bunseki-" 2channeru" denshikeijiban o rei toshite-(Boisterous language. Analysis of structures and semiotic functions of emotive expressions in conversation on Japanese Internet bulletin board forum-2channel-)”, UAM, Poznań, 2006
PTASZYNSKI Michal, ““Moeru gengo-Intanetto kei-jiban no ue no nihongo kaiwa ni okeru kanjohyogen no kozo to kigorontekikino no bunseki- “2channeru” denshikeijiban o rei toshite-” (Boisterous language. Analysis of structures and semiotic functions of emotive expressions in conversation on Japanese Internet bulletin board forum-2channel-)”, M. A. Dissertation, UAM, 2006
PTASZYNSKI Michal, “Boisterous language. Analysis of structures and semiotic functions of emotive expressions in conversation on Japanese Internet bulletin board forum-2channel-”, M. A. Dissertation, UAM, 2006

Date unknown (8)

Ptaszyński, Michał, “Niespokojny język”
Ptaszynski, Michal, Pieciukiewicz, Agata, Dybala, Pawel, “Location: State: Country: Poland Contact Email”
Ptaszynski, Michal, “Taking Affect Analysis One Step Higher: The Idea of Contextual Appropriateness of Emotions and Its Perspectives”
Ptaszynski, Michal, Dybala, Pawel, Rzepka, Rafal, Araki, Kenji, “Processing the Contextual Appropriateness of Emotions”
Komuda, Radoslaw, Ptaszynski, Michal, Rzepka, Rafal, Araki, Kenji, “IJCAI 2016”
Keeley Crockett, Zuhair Bandar, O’Shea, James, Mclean, David, Gandhe, Sudeep, Whitman, Nicolle, Traum, David, Artstein, Ron, Zukerman, Ingrid, Makalic, Enes, Niemann, Michael, others, “6th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems Workshop Program”
Nakajima, Yoko, Ptaszynski, Michal, Honma, Hirotoshi, Masui, Fumito, “Extracting References to the Future from News using Morphosemantic Patterns”
Ptaszynski, Michal, Dybala, Pawel, Rzepka, Rafal, Araki, Kenji, “Development of Corpus for Affect Analysis in Japanese”

MISC (28)

2023 (2)

PTASZYNSKI Michal, “Past, Present, and Future of Automatic Cyberbullying Detection Research”, 知能と情報(CD-ROM), 35(3), 2023
高野海里, プタシンスキミハウ, 桝井文人, “利用規約におけるQAデータセットの作成及び検証”, 言語処理学会年次大会発表論文集(Web), 29th, 2023

2022 (1)

柴田祥伍, PTASZYNSKI Michal, ERONEN Juuso, NOWAKOWSKI Karol, 桝井文人, “日本語大規模ブログコーパスYACISに基づいたELECTRA事前学習済み言語モデルの作成及び性能評価”, 言語処理学会年次大会発表論文集(Web), 28th, 2022

2021 (2)

及川佑人, PTASZYNSKI Michal, PTASZYNSKI Michal, 桝井文人, 桝井文人, “Classification of disaster tweets for damage assessment, and improvement by feature analysis”, 電子情報通信学会技術研究報告(Web), 120(374(NLC2020 21-30)), 2021
中島陽子, PTASZYNSKI Michal, 本間宏利, 桝井文人, “Development of a versatility future trend prediction support system using morphosemantic patterns information of text data”, 釧路工業高等専門学校紀要(Web), 2021

2020 (1)

中島陽子, 本間宏利, HAKIM Akmal, PTASZYNSKI Michal, 桝井文人, “Construction of general-purpose classification model for the purpose of improving classification accuracy of future reference sentences”, 釧路工業高等専門学校紀要(Web), 2020

2019 (2)

PTASZYNSKI Michal, MASUI Fumito, NAKAJIMA Yoko, HAYAKAWA Hiroshi, SAITO Takehiko, MIYAMORI Yasunori, “Comparison of Machine Learning Techniques for Classification of Information Types on Twitter”, 言語処理学会年次大会発表論文集(Web), 25th, 2019
谷川原綾子, PTASZYNSKI Michal, 辻真太朗, 上杉正人, “チャンキング及び体言判別を用いた専門用語の自動抽出手法-放射線技術学関連の医学用語抽出への応用-”, 日本医療情報学会春季学術大会プログラム・抄録集, 23rd, 2019

2018 (1)

NOWAKOWSKI Karol, PTASZYNSKI Michal, MASUI Fumito, “A proposal for a unified corpus of the Ainu language”, 情報処理学会研究報告(Web), 2018(NL-237), 2018

2017 (1)

大谷拡夢, 桝井文人, 柳等, PTASZYNSKI Michal, “カーリング競技における攻守を考慮した試合情報分析”, 日本オペレーションズ・リサーチ学会秋季研究発表会アブストラクト集, 2017, 2017

2016 (2)

山田大, 安彦智史, 長谷川大, PTASZYNSKI Michal, 中村健二, 佐久田博司, “ID交換掲示板における書き込み有害性評価に向けた隠語概念化手法の提案”, 言語処理学会年次大会発表論文集(Web), 22nd, 2016
NAKAJIMA Yoko, PTASZYNSKI Michal, HONMA Hirotoshi, MASUI Fumito, “An Extraction Method for Future Reference Expressions Using Morphological and Semantic Patterns”, 釧路工業高等専門学校紀要(Web), 2016

2014 (1)

HA Heon-Myeong, 桝井文人, QUYEN Pham Xuan, PTASZYNSKI Michal, “韓国語における比喩的素描手法に関連する一考察”, 情報処理北海道シンポジウム講演論文集, 2014, 2014

2013 (3)

福島裕斗, 桝井文人, PTASZYNSKI Michal, 中島陽子, 渡辺桂祐, 河石良太郎, 新田大征, 佐藤亮弥, “SNSからの1次情報自動抽出に向けた表層的言語情報の分析”, 情報処理北海道シンポジウム講演論文集, 2013, 2013
渡邊雄太, 桝井文人, PTASZYNSKI Michal, 新田大征, “比喩的素描手法精緻化に向けたdescriptor分類手法の検討”, 情報処理北海道シンポジウム講演論文集, 2013, 2013
PTASZYNSKI Michal, MUKAICHI Kazuki, MOMOUCHI Yoshio, “NLP for Endangered Languages: Morphology Analysis,Translation Support and Shallow Parsing of Ainu Language”, 言語処理学会年次大会発表論文集(Web), 19th, 2013

2012 (5)

PTASZYNSKI Michal, RZEPKA Rafal, ARAKI Kenji, MOMOUCHI Yoshio, “A Survey on Large Scale Web Based Corpora”, 言語処理学会年次大会発表論文集, 18th (CD-ROM), 2012
PTASZYNSKI Michal, RZEPKA Rafal, ARAKI Kenji, MOMOUCHI Yoshio, “Annotating Syntactic Information on 5.5 Billion Word Corpus of Japanese Blogs”, 言語処理学会年次大会発表論文集, 18th (CD-ROM), 2012
PTASZYNSKI Michal, DYBALA Pawel, RZEPKA Rafal, ARAKI Kenji, MOMOUCHI Yoshio, “Annotating Affective Information on 5.5 Billion Word Corpus of Japanese Blogs”, 言語処理学会年次大会発表論文集, 18th (CD-ROM), 2012
PTASZYNSKI Michal, RZEPKA Rafal, ARAKI Kenji, MOMOUCHI Yoshio, “A Robust Ontology of Emotion Objects”, 言語処理学会年次大会発表論文集, 18th (CD-ROM), 2012
PTASZYNSKI Michal, PTASZYNSKI Michal, MOMOUCHI Yoshio, “POST-AL: Part-of-Speech Tagger for Ainu Language”, 言語処理学会年次大会発表論文集, 18th (CD-ROM), 2012

2011 (2)

PTASZYNSKI Michal, PTASZYNSKI Michal, RZEPKA Rafal, ARAKI Kenji, MOMOUCHI Yoshio, “Research on Emoticons: Review of the Field and Proposal of Research Framework”, 言語処理学会年次大会発表論文集, 17th (CD-ROM), 2011
PTASZYNSKI Michal, PTASZYNSKI Michal, RZEPKA Rafal, ARAKI Kenji, MOMOUCHI Yoshio, “SPEC-Sentence Pattern Extraction and Analysis Architecture”, 言語処理学会年次大会発表論文集, 17th (CD-ROM), 2011

2010 (3)

RZEPKA Rafal, HIGUCHI Shinsuke, PTASZYNSKI Michal, DYBALA Pawel, ARAKI Kenji, “When Your Users Are Not Serious Using Web-based Associations, Affect and Humor for Generating Appropriate Utterances for Inappropriate Input”, 人工知能学会論文誌(Web), 25(1), 2010
DYBALA Pawel, PTASZYNSKI Michal, RZEPKA Rafal, ARAKI Kenji, “PUNDA Numbears: Proposal of Goroawase Generating System for Japanese”, 言語処理学会年次大会発表論文集, 16th, 2010
PTASZYNSKI Michal, DYBALA Pawel, RZEPKA Rafal, ARAKI Kenji, “Towards Fully Automatic Emoticon Analysis System”, 言語処理学会年次大会発表論文集, 16th, 2010

2009 (1)

DYBALA Pawel, PTASZYNSKI Michal, RZEPKA Rafal, ARAKI Kenji, “When Should Computers Joke?-Concept of Emotiveness Analysis Based Timing Algorithm for Humor-Equipped Conversational Systems”, 言語処理学会年次大会発表論文集, 15th, 2009

2008 (1)

PTASZYNSKI M., “How to find love in the Internet? Applying Web mining to affect recognition from textual input”, Proc. EMALP'08 (PRICAI'08), Hanoi, Vietnam, pp. 67–79, 2008

Books and Other Publications (6)

Pawel Dybala, Rafal Rzepka, Michal Ptaszynski (Ed.), Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions, MDPI, Aug 2024 (ISBN: 9783725817160)
Ptaszynski, Michal, 桝井, 文人, Automatic cyberbullying detection : emerging research and opportunities, IGI Global, 2019 (ISBN: 9781522587149)
荒木, 健治, Rzepka, Rafal, Ptaszynski, Michal, Dybala, Pawel, 心を交わす人工知能 : 言語・感情・倫理・ユーモア・常識, 森北出版, Jun 2016 (ISBN: 9784627818019)
Moens, Marie-Francine, Li, Juanzi, Chua, Tat-Seng, Mining user generated content, CRC Press, 2014 (ISBN: 9781466557406)
Tiwary, Uma Shanker, Siddiqui, Tanveer, Speech, image, and language processing for human computer interaction : multi-modal advancements, Information Science Reference, Apr 2012 (ISBN: 1466609540)
Michal E. Ptaszynski, Emotion Awareness in Dialog Agents: Affect Analysis of Textual Input Utterance and its Application in Human-Computer Interaction, LAP LAMBERT Academic Publishing, Aug 2011 (ISBN: 384543533X)

Research Projects (7)

Development of a Multicultural Care Communication Support System Utilizing Onomatopoeia — Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Apr 2024 – Mar 2027. 中島陽子, 本間宏利, プタシンスキミハウ, 桝井文人, 秋葉友良
Development of communication support system for nursing based on natural language processing and machine learning technologies — Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Apr 2020 – Mar 2023. 中島陽子, 本間宏利, プタシンスキミハウ, 桝井文人, 秋葉友良
Development of a versatile future trend prediction support system using morphosemantic patterns information of text data — Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Apr 2017 – Mar 2020. Nakajima Yoko
FeelHelper: Development of technology for cyberbullying mitigation focusing on both perpetrator and victim — Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Apr 2015 – Mar 2018. Ptaszynski Michal, MASUI Fumito
SimpaTALK: Development and application of a language model taking into account user emotions and flexibly adapting to situation — Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Aug 2013 – Mar 2015. PTASZYNSKI Michal, MASUI Fumito
Development of a method to detect cyber-bullying entries based on reputation, emotion and ethics — Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Apr 2012 – Mar 2015. MASUI Fumito, RZEPLA Rafal, KIMURA Yasutomo, PTASZYNSKI Michal, ARAKI Kenji
思いやりのあるコンピュータ:ユーザ感情を理解し適宜反応ができるエージェントの開発 — 日本学術振興会, 科学研究費助成事業, 2010 – 2012. 桃内佳雄, PTASZYNSKI MichalE., PTASZYSKI Michal E., PTASZYNSKI Michal E.

Industrial Property Rights (3)

専門用語抽出装置、専門用語抽出方法及びプログラム — プタシンスキミハウエドムンド, 谷川原綾子, Application No. 特願2020-186260 (Nov 2020)
インターネット上の有害書き込み検出装置及び検出方法 — 桝井文人, ミハウプタシンスキ, 新田大征, Application No. 特願2013-245813 (Nov 2013), Patent No. 特許第6301119号
インターネット上の有害書き込み検出装置及び検出方法 — 桝井文人, ミハウプタシンスキ, 新田大征, Application No. 特願2013-245813 (Nov 2013)

Professional Memberships

The Association for the Advancement of Artificial Intelligence (AAAI) (Jan 2010 – Present)
The Association for Computational Linguistics (ACL) (Jan 2010 – Present)
The Institute of Electrical and Electronics Engineers (IEEE) (Jan 2009 – Present)
The Asian Federation of Natural Language Processing (AFNLP) (Jan 2008 – Dec 2023)

Contact

Email: tip-lab@cs.kitami-it.ac.jp
Extension: office 9327 / lab 9308