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Mind the Gap: Automated Corpus Creation for Enthymeme Detection and Reconstruction in Learner Arguments

, , , and . Findings of the Association for Computational Linguistics: EMNLP 2023, page 4703--4717. (2023)
DOI: 10.48550/arXiv.2310.18098

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Text Analysis Pipelines - Towards Ad-hoc Large-Scale Text Mining. Lecture Notes in Computer Science Springer, (2015)Wikipedia Text Reuse: Within and Without., , , , , , and . CoRR, (2018)Modeling the Quality of Dialogical Explanations., , , , , and . CoRR, (2024)AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks., , , , , , , , , and 1 other author(s). CoRR, (2023)Dialogue-Based Requirement Compensation and Style-Adjusted Data-To-Text Generation, , , , and . page 65--84. (2023)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.Argument Search: Assessing Argument Relevance., , , , , , , and . SIGIR, page 1117-1120. ACM, (2019)Webis-News-Bias-20., , , and . (October 2020)Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education., , , , , , , , , and 28 other author(s). SIGIR Forum, 57 (1): 7:1-7:28 (June 2023)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)