1 code implementation • NLPerspectives (LREC) 2022 • Kamil Kanclerz, Marcin Gruza, Konrad Karanowski, Julita Bielaniewicz, Piotr Milkowski, Jan Kocon, Przemyslaw Kazienko
This supports our overall observation that personalized models should always be considered in all subjective NLP tasks, including hate speech detection.
no code implementations • NLPerspectives (LREC) 2022 • Anh Ngo, Agri Candri, Teddy Ferdinan, Jan Kocon, Wojciech Korczynski
Humans’ emotional perception is subjective by nature, in which each individual could express different emotions regarding the same textual content.
1 code implementation • 13 Dec 2023 • Kamil Kanclerz, Julita Bielaniewicz, Marcin Gruza, Jan Kocon, Stanisław Woźniak, Przemysław Kazienko
Data annotated by humans is a source of knowledge by describing the peculiarities of the problem and therefore fueling the decision process of the trained model.
1 code implementation • Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023 • Kamil Kanclerz, Konrad Karanowski, Julita Bielaniewicz, Marcin Gruza, Piotr Miłkowski, Jan Kocon, Przemyslaw Kazienko
In this paper, we present novel Personalized Active Learning techniques for Subjective NLP tasks (PALS) to either reduce the cost of the annotation process or to boost the learning effect.
14 code implementations • 22 May 2023 • Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Stella Biderman, Huanqi Cao, Xin Cheng, Michael Chung, Matteo Grella, Kranthi Kiran GV, Xuzheng He, Haowen Hou, Jiaju Lin, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Guangyu Song, Xiangru Tang, Bolun Wang, Johan S. Wind, Stanislaw Wozniak, Ruichong Zhang, Zhenyuan Zhang, Qihang Zhao, Peng Zhou, Qinghua Zhou, Jian Zhu, Rui-Jie Zhu
This work presents a significant step towards reconciling trade-offs between computational efficiency and model performance in sequence processing tasks.
Ranked #22 on
Natural Language Inference
on WNLI
1 code implementation • ACL 2021 • Piotr Milkowski, Marcin Gruza, Kamil Kanclerz, Przemyslaw Kazienko, Damian Grimling, Jan Kocon
Analysis of emotions elicited by opinions, comments, or articles commonly exploits annotated corpora, in which the labels assigned to documents average the views of all annotators, or represent a majority decision.
1 code implementation • ACL 2021 • Kamil Kanclerz, Alicja Figas, Marcin Gruza, Tomasz Kajdanowicz, Jan Kocon, Daria Puchalska, Przemyslaw Kazienko
There is content such as hate speech, offensive, toxic or aggressive documents, which are perceived differently by their consumers.