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 | 742 | 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 | 256 | 2023 |
Cross-lingual deep neural transfer learning in sentiment analysis K Kanclerz, P Miłkowski, J Kocoń Procedia Computer Science 176, 128-137, 2020 | 42 | 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 | 37 | 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 | 33 | 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 | 31 | 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 | 25 | 2023 |
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 | 17 | 2022 |
Multiemo: Multilingual, multilevel, multidomain sentiment analysis corpus of consumer reviews J Kocoń, P Miłkowski, K Kanclerz International Conference on Computational Science, 297-312, 2021 | 16 | 2021 |
Deep-sheep: Sense of humor extraction from embeddings in the personalized context J Bielaniewicz, K Kanclerz, P Miłkowski, M Gruza, K Karanowski, ... 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 967-974, 2022 | 9 | 2022 |
Capturing human perspectives in nlp: Questionnaires, annotations, and biases W Mieleszczenko-Kowszewicz, K Kanclerz, J Bielaniewicz, M Oleksy, ... The ECAI 2023 2nd Workshop on Perspectivist Approaches to NLP. CEUR Workshop …, 2023 | 7 | 2023 |
Differential dataset cartography: Explainable artificial intelligence in comparative personalized sentiment analysis J Kocoń, J Baran, K Kanclerz, M Kajstura, P Kazienko International Conference on Computational Science, 148-162, 2023 | 5 | 2023 |
Deep neural representations for multiword expressions detection K Kanclerz, M Piasecki Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 3 | 2022 |
PALS: Personalized Active Learning for Subjective Tasks in NLP K Kanclerz, K Karanowski, J Bielaniewicz, M Gruza, P Miłkowski, J Kocoń, ... Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 1 | 2023 |
Towards Model-Based Data Acquisition for Subjective Multi-Task NLP Problems K Kanclerz, J Bielaniewicz, M Gruza, J Kocoń, S Woźniak, P Kazienko 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 726-735, 2023 | | 2023 |
Multi-Modal Personalized Hate Speech Analysis using Differential Dataset Cartography J Kocoń, J Baran, K Kanclerz | | 2023 |
Non-Contextual vs Contextual Word Embeddings in Multiword Expressions Detection M Piasecki, K Kanclerz International Conference on Computational Collective Intelligence, 193-206, 2022 | | 2022 |
Is Context All You Need? Non-contextual vs Contextual Multiword Expressions Detection M Piasecki, K Kanclerz International Conference on Computational Science, 248-261, 2022 | | 2022 |
Lexicalisation of Polish and English word combinations: two samples manually annotated (with collocation strength corpus statistics) A Dziob, Ł Grabowski, K Kanclerz, K Kompa, M Maziarz, M Piasecki, ... Wrocław University of Science and Technology, 2021 | | 2021 |
PolEmo 1.0+ MultiEmo-Test 1.0 Multilingual Sentiment Analysis Dataset for KES2020 J Kocoń, K Kanclerz, P Miłkowski, B Bojanowski, M Zaśko-Zielińska Wrocław University of Science and Technology, 2020 | | 2020 |