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Jan Kocoń
Jan Kocoń
Department of Artificial Intelligence, Wroclaw University of Science and Technology
Verified email at pwr.edu.pl - Homepage
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Cited by
Year
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
8042022
ChatGPT: Jack of all trades, master of none
J Kocoń, I Cichecki, O Kaszyca, M Kochanek, D Szydło, J Baran, ...
Information Fusion 99, 101861, 2023
350*2023
Rwkv: Reinventing rnns for the transformer era
B Peng, E Alcaide, Q Anthony, A Albalak, S Arcadinho, S Biderman, ...
arXiv preprint arXiv:2305.13048, 2023
221*2023
Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach
J Kocoń, A Figas, M Gruza, D Puchalska, T Kajdanowicz, P Kazienko
Information Processing & Management 58 (5), 102643, 2021
922021
Liner2–a customizable framework for proper names recognition for Polish
M Marcińczuk, J Kocoń, M Janicki
Intelligent Tools for Building a Scientific Information Platform: Advanced …, 2013
582013
Multi-level sentiment analysis of PolEmo 2.0: Extended corpus of multi-domain consumer reviews
J Kocoń, P Miłkowski, M Zaśko-Zielińska
Proceedings of the 23rd Conference on Computational Natural Language …, 2019
502019
Cross-lingual deep neural transfer learning in sentiment analysis
K Kanclerz, P Miłkowski, J Kocoń
Procedia Computer Science 176, 128-137, 2020
452020
Learning personal human biases and representations for subjective tasks in natural language processing
J Kocoń, M Gruza, J Bielaniewicz, D Grimling, K Kanclerz, P Miłkowski, ...
2021 IEEE International Conference on Data Mining (ICDM), 1168-1173, 2021
372021
Personal bias in prediction of emotions elicited by textual opinions
P Miłkowski, M Gruza, K Kanclerz, P Kazienko, D Grimling, J Kocoń
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
342021
Controversy and conformity: from generalized to personalized aggressiveness detection
K Kanclerz, A Figas, M Gruza, T Kajdanowicz, J Kocoń, D Puchalska, ...
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
332021
Human-centered neural reasoning for subjective content processing: Hate speech, emotions, and humor
P Kazienko, J Bielaniewicz, M Gruza, K Kanclerz, K Karanowski, ...
Information Fusion 94, 43-65, 2023
272023
plWordNet as a basis for large emotive lexicons of Polish
A Janz, J Kocon, M Piasecki, M Zasko-Zielinska
Proceedings of Human Language Technologies as a Challenge for Computer …, 2017
26*2017
Neuro-symbolic models for sentiment analysis
J Kocoń, J Baran, M Gruza, A Janz, M Kajstura, P Kazienko, W Korczyński, ...
International conference on computational science, 667-681, 2022
252022
Inforex-a web-based tool for text corpus management and semantic annotation.
M Marcinczuk, J Kocon, B Broda, K Choukri, T Declerck, MU Doğan, ...
LREC, 224-230, 2012
252012
Mapping WordNet onto human brain connectome in emotion processing and semantic similarity recognition
J Kocoń, M Maziarz
Information Processing & Management 58 (3), 102530, 2021
242021
Evaluating KGR10 Polish word embeddings in the recognition of temporal expressions using BiLSTM-CRF
J Kocoń, M Gawor
arXiv preprint arXiv:1904.04055, 2019
24*2019
Recognition of emotions, valence and arousal in large-scale multi-domain text reviews
J Kocoń, A Janz, P Miłkowski, M Riegel, M Wierzba, A Marchewka, ...
9th Language & Technology Conference (LTC 2019): Human Language Technologies …, 2019
23*2019
What if ground truth is subjective? personalized deep neural hate speech detection
K Kanclerz, M Gruza, K Karanowski, J Bielaniewicz, P Miłkowski, J Kocoń, ...
Proceedings of the 1st Workshop on Perspectivist Approaches to NLP@ LREC2022 …, 2022
192022
Recognition of Named Entities for Polish-Comparison of Deep Learning and Conditional Random Fields Approaches,[w:] M. Ogrodniczuk, Ł. Kobyliński (red.)
M Marcińczuk, J Kocoń, M Gawor
Proceedings of the PolEval 2018 Workshop, 63-73, 2018
19*2018
Multiemo: Multilingual, multilevel, multidomain sentiment analysis corpus of consumer reviews
J Kocoń, P Miłkowski, K Kanclerz
International Conference on Computational Science, 297-312, 2021
182021
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