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Kamil Kanclerz
Kamil Kanclerz
Wroclaw University of Science and Technology
Verified email at pwr.edu.pl - Homepage
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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
7242022
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
2502023
Cross-lingual deep neural transfer learning in sentiment analysis
K Kanclerz, P Miłkowski, J Kocoń
Procedia Computer Science 176, 128-137, 2020
412020
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
362021
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
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
312021
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
252023
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
172022
Multiemo: Multilingual, multilevel, multidomain sentiment analysis corpus of consumer reviews
J Kocoń, P Miłkowski, K Kanclerz
International Conference on Computational Science, 297-312, 2021
162021
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
92022
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
72023
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
52023
Deep neural representations for multiword expressions detection
K Kanclerz, M Piasecki
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
32022
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
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
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
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