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

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  • Paderborn University
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Original languageEnglish
Title of host publicationFindings of the Association for Computational Linguistics: EMNLP 2023
Pages4703-4717
Publication statusPublished - 2023

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Mind the Gap: Automated Corpus Creation for Enthymeme Detection and Reconstruction in Learner Arguments. / Stahl, Maja; Düsterhus, Nick; Chen, Mei-Hua et al.
Findings of the Association for Computational Linguistics: EMNLP 2023. 2023. p. 4703-4717.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Stahl M, Düsterhus N, Chen MH, Wachsmuth H. Mind the Gap: Automated Corpus Creation for Enthymeme Detection and Reconstruction in Learner Arguments. In Findings of the Association for Computational Linguistics: EMNLP 2023. 2023. p. 4703-4717 doi: 10.48550/arXiv.2310.18098, 10.18653/v1/2023.findings-emnlp.312
Stahl, Maja ; Düsterhus, Nick ; Chen, Mei-Hua et al. / Mind the Gap : Automated Corpus Creation for Enthymeme Detection and Reconstruction in Learner Arguments. Findings of the Association for Computational Linguistics: EMNLP 2023. 2023. pp. 4703-4717
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title = "Mind the Gap: Automated Corpus Creation for Enthymeme Detection and Reconstruction in Learner Arguments",
author = "Maja Stahl and Nick D{\"u}sterhus and Mei-Hua Chen and Henning Wachsmuth",
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Download

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T2 - Automated Corpus Creation for Enthymeme Detection and Reconstruction in Learner Arguments

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AU - Chen, Mei-Hua

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