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 | 1083 | 2022 |
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 | 569* | 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 | 392* | 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 | 109 | 2021 |
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 | 60 | 2013 |
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 | 56 | 2019 |
Cross-lingual deep neural transfer learning in sentiment analysis K Kanclerz, P Miłkowski, J Kocoń Procedia Computer Science 176, 128-137, 2020 | 48 | 2020 |
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 | 43 | 2021 |
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 | 38 | 2021 |
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 | 36 | 2021 |
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 | 33 | 2023 |
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 | 26 | 2022 |
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 |
Inforex-a web-based tool for text corpus management and semantic annotation. M Marcinczuk, J Kocon, B Broda LREC, 224-230, 2012 | 26 | 2012 |
Mapping WordNet onto human brain connectome in emotion processing and semantic similarity recognition J Kocoń, M Maziarz Information Processing & Management 58 (3), 102530, 2021 | 25 | 2021 |
Evaluating KGR10 Polish word embeddings in the recognition of temporal expressions using BiLSTM-CRF J Kocoń, M Gawor arXiv preprint arXiv:1904.04055, 2019 | 25* | 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 | 23 | 2022 |
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 |
Multiemo: Multilingual, multilevel, multidomain sentiment analysis corpus of consumer reviews J Kocoń, P Miłkowski, K Kanclerz International Conference on Computational Science, 297-312, 2021 | 22 | 2021 |
Recognition of named entities for polish-comparison of deep learning and conditional random fields approaches M Marcinczuk, J Kocon, M Gawor Proceedings of the PolEval 2018 workshop, 77-92, 2018 | 21 | 2018 |