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Extended Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents., , , , , , , , , и 14 other автор(ы). CLEF (Working Notes), том 3180 из CEUR Workshop Proceedings, стр. 758-781. CEUR-WS.org, (2022)Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents., , , , , , , , , и 1 other автор(ы). CLEF, том 13390 из Lecture Notes in Computer Science, стр. 521-540. Springer, (2022)Focused Contrastive Loss for Classification With Pre-Trained Language Models., , , , , , , и . IEEE Trans. Knowl. Data Eng., 36 (7): 3047-3061 (июля 2024)Overview of ChEMU 2020: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents., , , , , , , , , и 5 other автор(ы). CLEF, том 12260 из Lecture Notes in Computer Science, стр. 237-254. Springer, (2020)ChEMU-Ref: A Corpus for Modeling Anaphora Resolution in the Chemical Domain., , , , , и . EACL, стр. 1362-1375. Association for Computational Linguistics, (2021)Overview of ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents., , , , , , , , , и 1 other автор(ы). CLEF, том 12880 из Lecture Notes in Computer Science, стр. 292-307. Springer, (2021)ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents., , , , , , , , , и 5 other автор(ы). Frontiers Res. Metrics Anal., (2021)An Extended Overview of the CLEF 2020 ChEMU Lab: Information Extraction of Chemical Reactions from Patents., , , , , , , , , и 32 other автор(ы). CLEF (Working Notes), том 2696 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents., , , , , , , , , и 1 other автор(ы). ECIR (2), том 12036 из Lecture Notes in Computer Science, стр. 572-579. Springer, (2020)Detecting Chemical Reactions in Patents., , , , , , , и . ALTA, стр. 100-110. Australasian Language Technology Association, (2019)