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Argument mining as a multi-hop generative machine reading comprehension task.

, , , и . EMNLP (Findings), стр. 10846-10858. Association for Computational Linguistics, (2023)

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Beyond Words: A Comprehensive Survey of Sentence Representations., , , , , и . CoRR, (2023)Towards Human-Centred Explainability Benchmarks For Text Classification., , и . ICWSM Workshops, (2022)Vajra: step-by-step programming with natural language., , , и . IUI, стр. 30-39. ACM, (2019)Are Machine Reading Comprehension Systems Robust to Context Paraphrasing?, , и . IJCNLP (2), стр. 184-196. Association for Computational Linguistics, (2023)Can Transformers Reason in Fragments of Natural Language?, , и . EMNLP, стр. 11184-11199. Association for Computational Linguistics, (2022)A Two-Stage Decoder for Efficient ICD Coding., , , и . ACL (Findings), стр. 4658-4665. Association for Computational Linguistics, (2023)A Framework for Evaluation of Machine Reading Comprehension Gold Standards., , , , и . LREC, стр. 5359-5369. European Language Resources Association, (2020)Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?, , и . EACL, стр. 3565-3579. Association for Computational Linguistics, (2021)MMT's Submission for the WMT 2023 Quality Estimation Shared Task., , , и . WMT, стр. 856-862. Association for Computational Linguistics, (2023)Incorporating Zoning Information into Argument Mining from Biomedical Literature., , , и . LREC, стр. 6162-6169. European Language Resources Association, (2022)