Transformers:“the end of history” for natural language processing? A Chernyavskiy, D Ilvovsky, P Nakov Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 78 | 2021 |
Aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning A Chernyavskiy, D Ilvovsky, P Nakov Proceedings of the Fourteenth Workshop on Semantic Evaluation, 1462–1468, 2020 | 24 | 2020 |
Aschern at CheckThat! 2021: lambda-calculus of fact-checked claims A Chernyavskiy, D Ilvovsky, P Nakov Faggioli et al.[12], 2021 | 16 | 2021 |
Extract and aggregate: A novel domain-independent approach to factual data verification A Chernyavskiy, D Ilvovsky Proceedings of the Second Workshop on Fact Extraction and VERification …, 2019 | 13 | 2019 |
CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media M Hardalov, A Chernyavskiy, I Koychev, D Ilvovsky, P Nakov Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the …, 2022 | 12 | 2022 |
Whatthewikifact: Fact-checking claims against wikipedia A Chernyavskiy, D Ilvovsky, P Nakov Proceedings of the 30th ACM International Conference on Information …, 2021 | 9 | 2021 |
Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks A Chernyavskiy, D Ilvovsky, P Kalinin, P Nakov Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 8 | 2022 |
ZenPropaganda: A Comprehensive Study on Identifying Propaganda Techniques in Russian Coronavirus-Related Media A Chernyavskiy, S Shomova, I Dushakova, I Kiriya, D Ilvovsky Proceedings of the 2024 Joint International Conference on Computational …, 2024 | | 2024 |