| 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 | 729 | 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 | 250 | 2023 |
| 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 | 48 | 2019 |
| Cross-lingual deep neural transfer learning in sentiment analysis K Kanclerz, P Miłkowski, J Kocoń Procedia Computer Science 176, 128-137, 2020 | 41 | 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 | 36 | 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 |
| Multilingual and language-agnostic recognition of emotions, valence and arousal in large-scale multi-domain text reviews J Kocoń, P Miłkowski, M Wierzba, B Konat, K Klessa, A Janz, M Riegel, ... Language and Technology Conference, 214-231, 2019 | 23 | 2019 |
| 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 | 20 | 2022 |
| 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 |
| Multi-level analysis and recognition of the text sentiment on the example of consumer opinions J Kocoń, M Zaśko-Zielińska, P Miłkowski Proceedings of the International Conference on Recent Advances in Natural …, 2019 | 15 | 2019 |
| Multitask personalized recognition of emotions evoked by textual content P Miłkowski, S Saganowski, M Gruza, P Kazienko, M Piasecki, J Kocoń 2022 IEEE International Conference on Pervasive Computing and Communications …, 2022 | 13 | 2022 |
| Emotion norms for 6000 polish word meanings with a direct mapping to the polish wordnet M Wierzba, M Riegel, J Kocoń, P Miłkowski, A Janz, K Klessa, K Juszczyk, ... Behavior Research Methods, 1-16, 2021 | 12 | 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 |
| Multi-model analysis of language-agnostic sentiment classification on multiemo data P Miłkowski, M Gruza, P Kazienko, J Szołomicka, S Woźniak, J Kocoń International Conference on Computational Collective Intelligence, 163-175, 2022 | 5 | 2022 |
| Multiemo: language-agnostic sentiment analysis P Miłkowski, M Gruza, P Kazienko, J Szołomicka, S Woźniak, J Kocoń International Conference on Computational Science, 72-79, 2022 | 3 | 2022 |
| PolEmo 2.0 sentiment analysis dataset for CoNLL J Kocoń, M Zaśko-Zielińska, P Miłkowski Wrocław University of Science and Technology, 2019 | 2 | 2019 |
| ELMo embeddings for Polish A Janz, P Miłkowski Wroclaw University of Science and Technology, 2019 | 2 | 2019 |
| Migrants vs. stayers in the pandemic–A sentiment analysis of Twitter content O Czeranowska, K Chlasta, P Miłkowski, I Grabowska, J Kocoń, ... Telematics and Informatics Reports 10, 100059, 2023 | 1 | 2023 |
