Чернявский Антон Сергеевич

Публикации⁶

• Глава книги Chernyavskiy A., Ilvovsky D., Kalinin P., Nakov P. Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks, in: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2022). Association for Computational Linguistics, 2022. P. 116-126. doi
• Глава книги Hardalov M., Chernyavskiy A., Koychev I., Ilvovsky D., Nakov P. CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media, in: Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, 2022. P. 266-285.
• Глава книги Chernyavskiy A., Ilvovsky D., Nakov P. Transformers: “The End of History” for Natural Language Processing?, in: Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part 3. Springer, 2021. P. 677-693. doi
• Глава книги Chernyavskiy A., Ilvovsky D., Nakov P. WhatTheWikiFact: Fact-Checking Claims Against Wikipedia, in: CIKM ’21: Proceedings of the 30th ACM International conference on information and knowledge management. ACM, 2021. doi P. 4690-4695. doi
• Глава книги Chernyavskiy A., Ilvovsky D., Nakov P. aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning, in: Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval-2020). Association for Computational Linguistics, 2020. P. 1462-1468. doi
• Глава книги Chernyavskiy A., Ilvovsky D. Extract and Aggregate: A Novel Domain-Independent Approach to Factual Data Verification, in: Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER). Association for Computational Linguistics, 2019. P. 69-78. doi