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2024
[j39]
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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): 1 (2024)
[j38]
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Lara Aslan, Michal Ptaszynski, Jukka Jauhiainen:
Are Strong Baselines Enough? False News Detection with Machine Learning. Future Internet 16(9): 322 (2024)
[j37]
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Chia Zheng Lin, Michal Ptaszynski, Marzena Karpinska, Juuso Eronen, Fumito Masui:
Initial exploration into sarcasm and irony through machine translation. Nat. Lang. Process. J. 9: 100106 (2024)
2023
[j36]
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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. Inf. Process. Manag. 60(2): 103148 (2023)
[j35]
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Juuso Eronen, Michal Ptaszynski, Fumito Masui:
Zero-shot cross-lingual transfer language selection using linguistic similarity. Inf. Process. Manag. 60(3): 103250 (2023)
[j34]
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Tanjim Mahmud, Michal Ptaszynski, Juuso Eronen, Fumito Masui:
Cyberbullying detection for low-resource languages and dialects: Review of the state of the art. Inf. Process. Manag. 60(5): 103454 (2023)
2022
[j33]
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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: 106972 (2022)
[j32]
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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. Comput. Hum. Behav. 136: 107371 (2022)
[j31]
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Juuso Eronen, Michal Ptaszynski, Fumito Masui, Masaki Arata, Gniewosz Leliwa, Michal Wroczynski:
Transfer language selection for zero-shot cross-lingual abusive language detection. Inf. Process. Manag. 59(4): 102981 (2022)
2021
[j30]
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Jagna Nieuwazny, Karol Nowakowski, Michal Ptaszynski, 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. Cogn. Syst. Res. 66: 89-99 (2021)
[j29]
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Yasuhiro Yoshida, Fumito Masui, Michal Ptaszynski:
Development of a dialogue-based guidance system for narrow area navigation. Inf. Process. Manag. 58(4): 102542 (2021)
[j28]
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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. Inf. Process. Manag. 58(4): 102600 (2021)
[j27]
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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. Inf. Process. Manag. 58(5): 102616 (2021)
[j26]
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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. Inf. Process. Manag. 58(5): 102644 (2021)
2020
[j25]
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Yoko Nakajima, Michal Ptaszynski, Fumito Masui, Hirotoshi Honma:
Future prediction with automatically extracted morphosemantic patterns. Cogn. Syst. Res. 59: 37-62 (2020)
[j24]
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Michal Ptaszynski, Fumito Masui, Naoto Ishii:
A method for automatic estimation of meaning ambiguity of emoticons based on their linguistic expressibility. Cogn. Syst. Res. 59: 103-113 (2020)
[j23]
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Jagna Nieuwazny, 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. Cogn. Syst. Res. 59: 329-344 (2020)
[j22]
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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. Inf. Process. Manag. 57(6): 102290 (2020)
2019
[j21]
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Akinori Abe, Rafal Rzepka, Michal Ptaszynski:
Language Sense and Communication on Computer. Adv. Hum. Comput. Interact. 2019: 3081602:1-3081602:2 (2019)
[j20]
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Karol Nowakowski, Michal Ptaszynski, Fumito Masui:
MiNgMatch - A Fast N-gram Model for Word Segmentation of the Ainu Language. Inf. 10(10): 317 (2019)
[j19]
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Karol Nowakowski, Michal Ptaszynski, Fumito Masui, Yoshio Momouchi:
Improving Basic Natural Language Processing Tools for the Ainu Language. Inf. 10(11): 329 (2019)
[j18]
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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. J. Assoc. Inf. Syst. 20(8): 4 (2019)
2017
[j17]
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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. J. Adv. Comput. Intell. Intell. Informatics 21(7): 1189-1201 (2017)
2016
[j16]
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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): 13-15 (2016)
[j15]
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Yoko Nakajima, Michal Ptaszynski, Hirotoshi Honma, Fumito Masui:
A Method for Extraction of Future Reference Sentences Based on Semantic Role Labeling. IEICE Trans. Inf. Syst. 99-D(2): 514-524 (2016)
[j14]
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Fumito Masui, Kohsuke Hirata, Hiromu Otani, Hitoshi Yanagi, Michal Ptaszynski:
Informatics to Support Tactics and Strategies in Curling. Int. J. Autom. Technol. 10(2): 244-252 (2016)
[j13]
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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. Int. J. Child Comput. Interact. 8: 15-30 (2016)
2014
[j12]
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Michal Ptaszynski, Rafal Rzepka, Kenji Araki, Yoshio Momouchi:
Automatically annotating a five-billion-word corpus of Japanese blogs for sentiment and affect analysis. Comput. Speech Lang. 28(1): 38-55 (2014)
[j11]
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Michal Ptaszynski, Rafal Rzepka, Satoshi Oyama, Masahito Kurihara, Kenji Araki:
A Survey on Large Scale Corpora and Emotion Corpora. Inf. Media Technol. 9(4): 429-445 (2014)
2013
[j10]
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Michal Ptaszynski, Hiroaki Dokoshi, Satoshi Oyama, Rafal Rzepka, Masahito Kurihara, Kenji Araki, Yoshio Momouchi:
Affect analysis in context of characters in narratives. Expert Syst. Appl. 40(1): 168-176 (2013)
[j9]
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Michal Ptaszynski, Pawel Dybala, Michal Mazur, Rafal Rzepka, Kenji Araki, Yoshio Momouchi:
Towards Computational Fronesis: Verifying Contextual Appropriateness of Emotions. Int. J. Distance Educ. Technol. 11(2): 16-47 (2013)
2012
[j8]
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Michal Ptaszynski, Yoshio Momouchi:
Part-of-speech tagger for Ainu language based on higher order Hidden Markov Model. Expert Syst. Appl. 39(14): 11576-11582 (2012)
2011
[j7]
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Pawel Dybala, Michal Ptaszynski, Kohichi Sayama:
Reducing Excessive Amounts of Data: Multiple Web Queries for Generation of Pun Candidates. Adv. Artif. Intell. 2011: 107310:1-107310:12 (2011)
2010
[j6]
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Pawel Dybala, Michal Ptaszynski, Rafal Rzepka, Kenji Araki:
Evaluating Subjective Aspects of HCI on an Example of a Non-Task Oriented Conversational System. Int. J. Artif. Intell. Tools 19(6): 819-856 (2010)
[j5]
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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. Int. J. Biom. 2(2): 134-154 (2010)
[j4]
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Rafal Rzepka, Shinsuke Higuchi, Michal Ptaszynski, Pawel Dybala, Kenji Araki:
When Your Users Are Not Serious: Using Web-based Associations, Affect and Humor for Generating Appropriate Utterances for Inappropriate Input. Inf. Media Technol. 5(1): 216-223 (2010)
[j3]
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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. J. Ambient Intell. Smart Environ. 2(1): 31-48 (2010)
[j2]
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Michal Ptaszynski, Jacek Maciejewski, Pawel Dybala, Rafal Rzepka, Kenji Araki:
CAO: A Fully Automatic Emoticon Analysis System Based on Theory of Kinesics. IEEE Trans. Affect. Comput. 1(1): 46-59 (2010)
2009
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Pawel Dybala, Michal Ptaszynski, Rafal Rzepka, Kenji Araki:
Activating Humans with Humor - A Dialogue System That Users Want to Interact with. IEICE Trans. Inf. Syst. 92-D(12): 2394-2401 (2009)

Conference and Workshop Papers

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2024
[c39]
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  - conf/semeval/ChowdhuryP24
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Abu Nowhash Chowdhury, Michal Ptaszynski:
nowhash at SemEval-2024 Task 4: Exploiting Fusion of Transformers for Detecting Persuasion Techniques in Multilingual Memes. SemEval@NAACL 2024: 133-138
2023
[c38]
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  - conf/icsports/IshitoyaMYPA23
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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. icSPORTS 2023: 61-69
[c37]
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  - conf/icsports/KondoYPAM23
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Yutaka Kondo, Hitoshi Yanagi, Michal Ptaszynski, Shimpei Aihara, Fumito Masui:
Statistical Analysis of Recent Rule Revision Effects for Tactical and Strategic Elements in Curling. icSPORTS 2023: 70-81
2022
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  - conf/acii/OikawaPM22
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Yuto Oikawa, Michal Ptaszynski, Fumito Masui:
AI Training for Thunderstorm Training: Better Situational Awareness for Disaster Tweets Using Context and Emotions. ACIIW 2022: 1-10
[c35]
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Tanjim Mahmud, Sudhakar Das, Michal Ptaszynski, Mohammad Shahadat Hossain, Karl Andersson, Koushick Barua:
Reason Based Machine Learning Approach to Detect Bangla Abusive Social Media Comments. ICO 2022: 489-498
2020
[c34]
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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. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) 2020
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  - conf/coling/RyuP20
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Kenji Ryu, Michal Ptaszynski:
Epistolary Education in 21st Century: A System to Support Composition of E-mails by Students to Superiors in Japanese. COLING (Demonstrations) 2020: 87-92
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Ali Bakdur, Fumito Masui, Michal Ptaszynski:
Predicting University Students' Public Transport Preferences for Sustainability Improvement. IntelliSys (2) 2020: 362-376
2019
[c31]
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  - conf/aaai/LiRPA19
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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. AffCon@AAAI 2019: 88-103
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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. BICA 2019: 387-392
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Michal Ptaszynski, Fumito Masui, Naoto Ishii:
Automatically Estimating Meaning Ambiguity of Emoticons. BICA 2019: 411-416
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Da Li, Rafal Rzepka, Michal Ptaszynski, Kenji Araki:
Emoji-Aware Attention-based Bi-directional GRU Network Model for Chinese Sentiment Analysis. LaCATODA/BtG@IJCAI 2019: 11-18
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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 2019: 303-321
2018
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Da Li, Rafal Rzepka, Michal Ptaszynski, Kenji Araki:
Emoticon-Aware Recurrent Neural Network Model for Chinese Sentiment Analysis. iCAST 2018: 161-166
2017
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Hiromu Otani, Fumito Masui, Hitoshi Yanagi, Michal Ptaszynski:
Advances in Curling Game Information Analysis by Considering Starting Position. icSPORTS 2017: 89-95
[c24]
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Michal Ptaszynski, Juuso Kalevi Kristian Eronen, Fumito Masui:
Learning Deep on Cyberbullying is Always Better Than Brute Force. LaCATODA@IJCAI 2017: 3-10
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Karol Nowakowski, Michal Ptaszynski, Fumito Masui:
Towards Better Text Processing Tools for the Ainu Language. LCT 2017: 131-145
2016
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Hiromu Otani, Fumito Masui, Kohsuke Hirata, Hitoshi Yanagi, Michal Ptaszynski:
Analysis of Curling Team Strategy and Tactics using Curling Informatics. icSPORTS 2016: 182-187
2015
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Fumito Masui, Hiroki Ueno, Hitoshi Yanagi, Michal Ptaszynski:
Toward curling informatics - Digital scorebook development and game information analysis. CIG 2015: 481-488
[c20]
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Michal Ptaszynski, Fumito Masui, Yasutomo Kimura, Rafal Rzepka, Kenji Araki:
Brute Force Works Best Against Bullying. CPCR+ITWP@IJCAI 2015
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Michal Ptaszynski, Fumito Masui, Yasutomo Kimura, Rafal Rzepka, Kenji Araki:
Automatic Extraction of Harmful Sentence Patterns with Application in Cyberbullying Detection. LTC 2015: 349-362
2014
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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. AAAI Spring Symposia 2014
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Yoko Nakajima, Michal Ptaszynski, Hirotoshi Honma, Fumito Masui:
Investigation of Future Reference Expressions in Trend Information. AAAI Spring Symposia 2014
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Michal Ptaszynski, Fumito Masui, Rafal Rzepka, Kenji Araki:
Detecting Emotive Sentences with Pattern-based Language Modelling. KES 2014: 484-493
[c15]
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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. NTCIR 2014
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Michal Ptaszynski, Fumito Masui, Rafal Rzepka, Kenji Araki:
Emotive or Non-emotive: That is The Question. WASSA@ACL 2014: 59-65
2013
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Taisei Nitta, Fumito Masui, Michal Ptaszynski, Yasutomo Kimura, Rafal Rzepka, Kenji Araki:
Detecting Cyberbullying Entries on Informal School Websites Based on Category Relevance Maximization. IJCNLP 2013: 579-586
2012
[c12]
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Michal Ptaszynski, Rafal Rzepka, Kenji Araki, Yoshio Momouchi:
Automatically Annotating A Five-Billion-Word Corpus of Japanese Blogs for Affect and Sentiment Analysis. WASSA@ACL 2012: 89-98
2010
[c11]
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Michal Ptaszynski, Jacek Maciejewski, Pawel Dybala, Rafal Rzepka, Kenji Araki:
CAO: A Fully Automatic Emoticon Analysis System. AAAI 2010: 1026-1032
[c10]
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Pawel Dybala, Michal Ptaszynski, Rafal Rzepka, Kenji Araki:
Multi-humoroid: joking system that reacts with humor to humans' bad moods. AAMAS 2010: 1433-1434
2009
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Michal Ptaszynski, Rafal Rzepka, Kenji Araki:
A Pragmatic Approach to Implementation of Emotional Intelligence in Machines. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2009
[c8]
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Pawel Dybala, Michal Ptaszynski, Rafal Rzepka, Kenji Araki:
Humoroids: conversational agents that induce positive emotions with humor. AAMAS (2) 2009: 1171-1172
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Pawel Dybala, Michal Ptaszynski, Rafal Rzepka, Kenji Araki:
Humorized Computational Intelligence towards User-Adapted Systems with a Sense of Humor. EvoWorkshops 2009: 452-461
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Michal Ptaszynski, Pawel Dybala, Wenhan Shi, Rafal Rzepka, Kenji Araki:
Towards Context Aware Emotional Intelligence in Machines: Computing Contextual Appropriateness of Affective States. IJCAI 2009: 1469-1474
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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. IUI 2009: 487-488
2008
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Pawel Dybala, Michal Ptaszynski, Shinsuke Higuchi, Rafal Rzepka, Kenji Araki:
Humor Prevails! - Implementing a Joke Generator into a Conversational System. Australasian Conference on Artificial Intelligence 2008: 214-225
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Michal Ptaszynski, Pawel Dybala, Shinsuke Higuchi, Rafal Rzepka, Kenji Araki:
Affect-as-Information Approach to a Sentiment Analysis Based Evaluation of Conversational Agents. CIMCA/IAWTIC/ISE 2008: 901-906
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Michal Ptaszynski, Pawel Dybala, Shinsuke Higuchi, Rafal Rzepka, Kenji Araki:
Affect as Information about Users' Attitudes to Conversational Agents. Web Intelligence/IAT Workshops 2008: 495-500
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Rafal Rzepka, Shinsuke Higuchi, Michal Ptaszynski, Kenji Araki:
Straight thinking straight from the net - on the web-based intelligent talking toy development. SMC 2008: 2172-2176

Parts in Books or Collections

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2015
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Fumito Masui, Michal Ptaszynski, Ryotaro Kawaishi, Yasunari Maeda, Fumitaro Goto, Hiroshi Masui:
A System for Recommendation of Accommodation Facilities Adaptable to User Interest. Tourism Informatics 2015: 107-118
2014
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Michal Ptaszynski, Yoshio Momouchi, Jacek Maciejewski, Pawel Dybala, Rafal Rzepka, Kenji Araki:
Annotating Japanese Blogs with Syntactic and Affective Information. Mining User Generated Content 2014: 189-221
2012
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Pawel Dybala, Michal Ptaszynski, Kohichi Sayama:
A Step Towards Emotion Aware Joking AI: Multiagent Humor-Equipped Conversational System. Agents and Ambient Intelligence 2012: 289-326

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2020
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Michal Ptaszynski, Bartosz Ziólko:
Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020 - System Demonstrations, Barcelona, Spain (Online), December 8-13, 2020. International Committee on Computational Linguistics (ICCL) 2020, ISBN 978-1-952148-28-6 [contents]

Data and Artifacts

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2019
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Michal Ptaszynski:
CAO System Emoticon Parts Dataset with Emotion Labels. IEEE DataPort, 2019

Informal and Other Publications

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2023
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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)
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Juuso Eronen, Michal Ptaszynski, Fumito Masui:
Zero-shot cross-lingual transfer language selection using linguistic similarity. CoRR abs/2301.13720 (2023)
[i11]
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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)
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Tanjim Mahmud, Michal Ptaszynski, Fumito Masui:
Vulgar Remarks Detection in Chittagonian Dialect of Bangla. CoRR abs/2308.15448 (2023)
[i9]
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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)
2022
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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)
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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 (2022)
[i6]
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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)
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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 (2022)
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Juuso Eronen, Michal Ptaszynski, Fumito Masui:
Comparing Performance of Different Linguistically-Backed Word Embeddings for Cyberbullying Detection. CoRR abs/2206.01950 (2022)
[i3]
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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)
2021
[i2]
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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 (2021)
2018
[i1]
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  - journals/corr/abs-1808-00926
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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)

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