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Perspectives on Large Language Models for Relevance Judgment

, , , , , , , , , , and . ICTIR '23, page 39--50. Association for Computing Machinery, Inc, (Aug 9, 2023)Funding Information: This material is based upon work supported by the National Science Foundation under Grant No. 1846017. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. ; 9th ACM SIGIR International Conference on the Theory of Information Retrieval : ICTIR 2023 ; Conference date: 23-07-2023 Through 23-07-2023.
DOI: 10.48550/arXiv.2304.09161

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Mining, Assessing, and Improving Arguments in NLP and the Social Sciences, , , and . Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), (May 2023)Funding Information: Gabriella Lapesa and Eva Maria Vecchi are funded by the Bundesministerium für Bildung und Forschung (BMBF), project E-DELIB (Powering up E-deliberation: towards AI-supported moderation). Serena Villata is supported by the French government, through the 3IA Côte d’Azur Investments in the Future project managed by the ANR with the reference number ANR-19-P3IA-0002.; 17th Conference of the European Chapter of the Associationfor Computational Linguistics, EACL 2023 ; Conference date: 02-05-2023 Through 04-05-2023.Dialogue-Based Requirement Compensation and Style-Adjusted Data-To-Text Generation, , , , and . page 65--84. (2023)Modeling Frames in Argumentation., , , and . EMNLP/IJCNLP (1), page 2922-2932. Association for Computational Linguistics, (2019)Argument Search: Assessing Argument Relevance., , , , , , , and . SIGIR, page 1117-1120. ACM, (2019)Counter-Argument Generation by Attacking Weak Premises., , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 1816-1827. Association for Computational Linguistics, (2021)Generating Informative Conclusions for Argumentative Texts., , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3482-3493. Association for Computational Linguistics, (2021)Touché21-Argument-Retrieval-for-Controversial-Questions., , , , , , , and . (November 2021)Touché22-Argument-Retrieval-for-Controversial-Questions., , , , , , , and . (November 2021)Detecting Media Bias in News Articles using Gaussian Bias Distributions., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 4290-4300. Association for Computational Linguistics, (2020)Webis-ArgRank-17., , and . (April 2017)