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

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

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  • Universität Paderborn
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OriginalspracheEnglisch
Titel des SammelwerksFindings of the Association for Computational Linguistics: EMNLP 2023
Seiten4703-4717
PublikationsstatusVeröffentlicht - 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. S. 4703-4717.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-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. S. 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. S. 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",
year = "2023",
doi = "10.48550/arXiv.2310.18098",
language = "English",
pages = "4703--4717",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2023",

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Download

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

AU - Stahl, Maja

AU - Düsterhus, Nick

AU - Chen, Mei-Hua

AU - Wachsmuth, Henning

PY - 2023

Y1 - 2023

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DO - 10.48550/arXiv.2310.18098

M3 - Conference contribution

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BT - Findings of the Association for Computational Linguistics: EMNLP 2023

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