P. Przybyła, P. Borkowski, K. Kaczyński, “Countering Disinformation by Finding Reliable Sources: a Citation-Based Approach,” in Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 2022. [bib][paper][preprint][data][corpus][code]
P. Przybyła, M. Shardlow, “Using NLP to quantify the environmental cost and diversity benefits of in-person NLP conferences,” Findings of ACL: 60th Annual Meeting of the Association for Computational Linguistics, Dublin, In press. [paper][data,code]
2021
P. Przybyła, Axel J. Soto, “When classification accuracy is not enough: Explaining news credibility assessment,” Information Processing & Management, vol. 58, issue 5, 2021.[paper][data,code]
K. Kaczyński, P. Przybyła, “HOMADOS at SemEval-2021 Task 6: Multi-Task Learning for Propaganda Detection,” in Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), Bangkok, Thailand, 2021. [paper]
L. Vásquez-Rodríguez, M. Shardlow, P. Przybyła, Sophia Ananiadou, “The Role of Text Simplification Operations in Evaluation,” in Proceedings of the First Workshop on Current Trends in Text Simplification (CTTS 2021), Online, 2021. [paper][code]
L. Vásquez-Rodríguez, M. Shardlow, P. Przybyła, Sophia Ananiadou, “Investigating Text Simplification Evaluation,” in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, Bangkok, Thailand, 2021. [bib][paper][code]
M. Ogrodniczuk, P. Przybyła, “PolEval 2021 Task 4: Question Answering Challenge,” in Proceedings of the PolEval 2021 Workshop, Online, 2021. [paper][data]
2020
P. Przybyła, “Capturing the Style of Fake News,” in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020), New York, USA, 2020. [paper][corpus][code]
P. Przybyła and M. Shardow, “Multi-Word Lexical Simplification,” in Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain, 2020. [paper][dataset][model][code]
2019
P. Przybyła, “Detecting Bot Accounts on Twitter by Measuring Message Predictability,” in Working Notes of CLEF 2019 – Conference and Labs of the Evaluation Forum, Lugano, Switzerland, 2019. [paper][code]
J. Gąsior and P. Przybyła, “The IPIPAN Team Participation in the Check-Worthiness Task of the CLEF2019 CheckThat! Lab,” in Working Notes of CLEF 2019 – Conference and Labs of the Evaluation Forum, Lugano, Switzerland, 2019. [paper]
