Piotr Milkowski
Orcid: 0000-0001-5201-0364
According to our database1,
Piotr Milkowski
authored at least 20 papers
between 2019 and 2023.
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Bibliography
2023
Human-centered neural reasoning for subjective content processing: Hate speech, emotions, and humor.
Inf. Fusion, June, 2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
Trans. Mach. Learn. Res., 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2022
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022
Proceedings of the 1st Workshop on Perspectivist Approaches to NLPerspectives@LREC 2022, 2022
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Proceedings of the Advances in Computational Collective Intelligence, 2022
Proceedings of the Computational Collective Intelligence - 14th International Conference, 2022
Proceedings of the Advances in Computational Collective Intelligence, 2022
Proceedings of the Computational Science - ICCS 2022, 2022
Proceedings of the Computational Science - ICCS 2022, 2022
2021
Learning Personal Human Biases and Representations for Subjective Tasks in Natural Language Processing.
Proceedings of the IEEE International Conference on Data Mining, 2021
MultiEmo: Multilingual, Multilevel, Multidomain Sentiment Analysis Corpus of Consumer Reviews.
Proceedings of the Computational Science - ICCS 2021, 2021
Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021
2020
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020
2019
Multi-level analysis and recognition of the text sentiment on the example of consumer opinions.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019
Multilingual and Language-Agnostic Recognition of Emotions, Valence and Arousal in Large-Scale Multi-domain Text Reviews.
Proceedings of the Human Language Technology. Challenges for Computer Science and Linguistics, 2019
Multi-Level Sentiment Analysis of PolEmo 2.0: Extended Corpus of Multi-Domain Consumer Reviews.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019