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Michal Ptaszynski
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2020 – today
- 2024
- [j40]Mujahid Jamal A. Khalifah
, Michal Ptaszynski
Emotional Text-To-Speech in Japanese Using Artificially Augmented Dataset. IEEE Access 12: 167724-167777 (2024) - [j39]Michal Ptaszynski
Expert-Annotated Dataset to Study Cyberbullying in Polish Language. Data 9(1): 1 (2024) - [j38]Lara Aslan, Michal Ptaszynski
Are Strong Baselines Enough? False News Detection with Machine Learning. Future Internet 16(9): 322 (2024) - [j37]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) - [c40]Kinga Lasek, Michal Ptaszynski, Fumito Masui:
Japanese dialect-aware chatbot: Adapting NLP Models for Japanese Dialect Variation. LaCATODA@PRICAI 2024: 30-44 - [c39]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 - [e2]Rafal Rzepka, Michal Ptaszynski, Pawel Dybala, Siaw-Fong Chung, Jordi Vallverdú:
Proceedings of the 9th Linguistic and Cognitive Approaches To Dialog Agents Workshop - LaCATODA 2024 co-located with the Pacific Rim International Conference on Artificial Intelligence (PRICAI 2024), Kyoto, Japan, November 19, 2024. CEUR Workshop Proceedings 3862, CEUR-WS.org 2024 [contents] - 2023
- [j36]Karol Nowakowski
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]Juuso Eronen
Zero-shot cross-lingual transfer language selection using linguistic similarity. Inf. Process. Manag. 60(3): 103250 (2023) - [j34]Tanjim Mahmud
Cyberbullying detection for low-resource languages and dialects: Review of the state of the art. Inf. Process. Manag. 60(5): 103454 (2023) - [c38]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]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 - [i13]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) - [i12]Juuso Eronen, Michal Ptaszynski, Fumito Masui:
Zero-shot cross-lingual transfer language selection using linguistic similarity. CoRR abs/2301.13720 (2023) - [i11]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) - [i10]Tanjim Mahmud, Michal Ptaszynski, Fumito Masui:
Vulgar Remarks Detection in Chittagonian Dialect of Bangla. CoRR abs/2308.15448 (2023) - [i9]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
- [j33]Rafal Urbaniak
Personal attacks decrease user activity in social networking platforms. Comput. Hum. Behav. 126: 106972 (2022) - [j32]Rafal Urbaniak
Namespotting: Username toxicity and actual toxic behavior on Reddit. Comput. Hum. Behav. 136: 107371 (2022) - [j31]Juuso Eronen
Transfer language selection for zero-shot cross-lingual abusive language detection. Inf. Process. Manag. 59(4): 102981 (2022) - [c36]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]Tanjim Mahmud
Reason Based Machine Learning Approach to Detect Bangla Abusive Social Media Comments. ICO 2022: 489-498 - [i8]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) - [i7]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]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) - [i5]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) - [i4]Juuso Eronen, Michal Ptaszynski, Fumito Masui:
Comparing Performance of Different Linguistically-Backed Word Embeddings for Cyberbullying Detection. CoRR abs/2206.01950 (2022) - [i3]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
- [j30]Jagna Nieuwazny
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]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]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]Juuso Kalevi Kristian Eronen
Improving classifier training efficiency for automatic cyberbullying detection with Feature Density. Inf. Process. Manag. 58(5): 102616 (2021) - [j26]Jagna Nieuwazny
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) - [i2]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) - 2020
- [j25]Yoko Nakajima, Michal Ptaszynski, Fumito Masui, Hirotoshi Honma:
Future prediction with automatically extracted morphosemantic patterns. Cogn. Syst. Res. 59: 37-62 (2020) - [j24]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]Jagna Nieuwazny
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]Da Li
HEMOS: A novel deep learning-based fine-grained humor detecting method for sentiment analysis of social media. Inf. Process. Manag. 57(6): 102290 (2020) - [c34]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 - [c33]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 - [c32]Ali Bakdur
Predicting University Students' Public Transport Preferences for Sustainability Improvement. IntelliSys (2) 2020: 362-376 - [e1]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]
2010 – 2019
- 2019
- [j21]Akinori Abe
Language Sense and Communication on Computer. Adv. Hum. Comput. Interact. 2019: 3081602:1-3081602:2 (2019) - [j20]Karol Nowakowski
MiNgMatch - A Fast N-gram Model for Word Segmentation of the Ainu Language. Inf. 10(10): 317 (2019) - [j19]Karol Nowakowski
Improving Basic Natural Language Processing Tools for the Ainu Language. Inf. 10(11): 329 (2019) - [j18]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) - [c31]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 - [c30]Jagna Nieuwazny
Emotional and Moral Impressions Associated with Buddhist Religious Terms in Japanese Blogs-Preliminary Analysis. BICA 2019: 387-392 - [c29]Michal Ptaszynski
Automatically Estimating Meaning Ambiguity of Emoticons. BICA 2019: 411-416 - [c28]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 - [c27]Lukasz Kobylinski
Evaluating Natural Language Processing tools for Polish during PolEval 2019. LCT 2019: 303-321 - [d1]Michal Ptaszynski
CAO System Emoticon Parts Dataset with Emotion Labels. IEEE DataPort, 2019 - 2018
- [c26]Da Li, Rafal Rzepka
Emoticon-Aware Recurrent Neural Network Model for Chinese Sentiment Analysis. iCAST 2018: 161-166 - [i1]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) - 2017
- [j17]Michal Ptaszynski, Fumito Masui, Yoko Nakajima, Yasutomo Kimura, Rafal Rzepka
A Method for Detecting Harmful Entries on Informal School Websites Using Morphosemantic Patterns. J. Adv. Comput. Intell. Intell. Informatics 21(7): 1189-1201 (2017) - [c25]Hiromu Otani, Fumito Masui, Hitoshi Yanagi, Michal Ptaszynski:
Advances in Curling Game Information Analysis by Considering Starting Position. icSPORTS 2017: 89-95 - [c24]Michal Ptaszynski, Juuso Kalevi Kristian Eronen, Fumito Masui:
Learning Deep on Cyberbullying is Always Better Than Brute Force. LaCATODA@IJCAI 2017: 3-10 - [c23]Karol Nowakowski
Towards Better Text Processing Tools for the Ainu Language. LCT 2017: 131-145 - 2016
- [j16]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]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]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]Michal Ptaszynski
Sustainable cyberbullying detection with category-maximized relevance of harmful phrases and double-filtered automatic optimization. Int. J. Child Comput. Interact. 8: 15-30 (2016) - [c22]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
- [c21]Fumito Masui, Hiroki Ueno, Hitoshi Yanagi, Michal Ptaszynski:
Toward curling informatics - Digital scorebook development and game information analysis. CIG 2015: 481-488 - [c20]Michal Ptaszynski, Fumito Masui, Yasutomo Kimura, Rafal Rzepka, Kenji Araki:
Brute Force Works Best Against Bullying. CPCR+ITWP@IJCAI 2015 - [c19]Michal Ptaszynski, Fumito Masui, Yasutomo Kimura, Rafal Rzepka
Automatic Extraction of Harmful Sentence Patterns with Application in Cyberbullying Detection. LTC 2015: 349-362 - [p3]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
- [j12]Michal Ptaszynski, Rafal Rzepka
Automatically annotating a five-billion-word corpus of Japanese blogs for sentiment and affect analysis. Comput. Speech Lang. 28(1): 38-55 (2014) - [j11]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) - [c18]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 - [c17]Yoko Nakajima, Michal Ptaszynski, Hirotoshi Honma, Fumito Masui:
Investigation of Future Reference Expressions in Trend Information. AAAI Spring Symposia 2014 - [c16]Michal Ptaszynski, Fumito Masui, Rafal Rzepka
Detecting Emotive Sentences with Pattern-based Language Modelling. KES 2014: 484-493 - [c15]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 - [c14]Michal Ptaszynski, Fumito Masui, Rafal Rzepka
Emotive or Non-emotive: That is The Question. WASSA@ACL 2014: 59-65 - [p2]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 - 2013
- [j10]Michal Ptaszynski
Affect analysis in context of characters in narratives. Expert Syst. Appl. 40(1): 168-176 (2013) - [j9]Michal Ptaszynski
Towards Computational Fronesis: Verifying Contextual Appropriateness of Emotions. Int. J. Distance Educ. Technol. 11(2): 16-47 (2013) - [c13]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
- [j8]Michal Ptaszynski
Part-of-speech tagger for Ainu language based on higher order Hidden Markov Model. Expert Syst. Appl. 39(14): 11576-11582 (2012) - [c12]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 - [p1]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 - 2011
- [j7]Pawel Dybala, Michal Ptaszynski
Reducing Excessive Amounts of Data: Multiple Web Queries for Generation of Pun Candidates. Adv. Artif. Intell. 2011: 107310:1-107310:12 (2011) - 2010
- [j6]Pawel Dybala, Michal Ptaszynski
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]Michal Ptaszynski
Contextual affect analysis: a system for verification of emotion appropriateness supported with Contextual Valence Shifters. Int. J. Biom. 2(2): 134-154 (2010) - [j4]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]Pawel Dybala, Michal Ptaszynski
Multiagent system for joke generation: Humor and emotions combined in human-agent conversation. J. Ambient Intell. Smart Environ. 2(1): 31-48 (2010) - [j2]Michal Ptaszynski
CAO: A Fully Automatic Emoticon Analysis System Based on Theory of Kinesics. IEEE Trans. Affect. Comput. 1(1): 46-59 (2010) - [c11]Michal Ptaszynski, Jacek Maciejewski, Pawel Dybala, Rafal Rzepka, Kenji Araki:
CAO: A Fully Automatic Emoticon Analysis System. AAAI 2010: 1026-1032 - [c10]Pawel Dybala, Michal Ptaszynski, Rafal Rzepka, Kenji Araki:
Multi-humoroid: joking system that reacts with humor to humans' bad moods. AAMAS 2010: 1433-1434
2000 – 2009
- 2009
- [j1]Pawel Dybala, Michal Ptaszynski
Activating Humans with Humor - A Dialogue System That Users Want to Interact with. IEICE Trans. Inf. Syst. 92-D(12): 2394-2401 (2009) - [c9]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]Pawel Dybala, Michal Ptaszynski, Rafal Rzepka, Kenji Araki:
Humoroids: conversational agents that induce positive emotions with humor. AAMAS (2) 2009: 1171-1172 - [c7]Pawel Dybala, Michal Ptaszynski
Humorized Computational Intelligence towards User-Adapted Systems with a Sense of Humor. EvoWorkshops 2009: 452-461 - [c6]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 - [c5]Rafal Rzepka
Serious processing for frivolous purpose: a chatbot using web-mining supported affect analysis and pun generation. IUI 2009: 487-488 - 2008
- [c4]Pawel Dybala, Michal Ptaszynski
Humor Prevails! - Implementing a Joke Generator into a Conversational System. Australasian Conference on Artificial Intelligence 2008: 214-225 - [c3]Michal Ptaszynski
Affect-as-Information Approach to a Sentiment Analysis Based Evaluation of Conversational Agents. CIMCA/IAWTIC/ISE 2008: 901-906 - [c2]Michal Ptaszynski
Affect as Information about Users' Attitudes to Conversational Agents. Web Intelligence/IAT Workshops 2008: 495-500 - [c1]Rafal Rzepka
Straight thinking straight from the net - on the web-based intelligent talking toy development. SMC 2008: 2172-2176
Coauthor Index
Juuso Kalevi Kristian Eronen
aka: Juuso Eronen
aka: Juuso Eronen
[j40] [j37] [c40] [j35] [j34] [c38] [c37] [i12] [i11] [i10] [i9] [j31] [c36] [i8] [i7] [i6] [i5] [i4] [i3] [j30] [j29] [j28] [j27] [j26] [i2] [j25] [j24] [j23] [c34] [c32] [j20] [j19] [j18] [c30] [c29] [j17] [c25] [c24] [c23] [j16] [j15] [j14] [j13] [c22] [c21] [c20] [c19] [p3] [c18] [c17] [c16] [c15] [c14] [c13]
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