Textual Entailment for Temporal Dependency Graph Parsing

Jiarui Yao; Steven Bethard; Kristin Wright-Bettner; Eli Goldner; David Harris; Guergana Savova

Textual Entailment for Temporal Dependency Graph Parsing

Jiarui Yao, Steven Bethard, Kristin Wright-Bettner, Eli Goldner, David Harris, Guergana Savova

Information, School of

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

We explore temporal dependency graph (TDG) parsing in the clinical domain. We leverage existing annotations on the THYME dataset to semi-automatically construct a TDG corpus. Then we propose a new natural language inference (NLI) approach to TDG parsing, and evaluate it both on general domain TDGs from wikinews and the newly constructed clinical TDG corpus. We achieve competitive performance on general domain TDGs with a much simpler model than prior work. On the clinical TDGs, our method establishes the first result of TDG parsing on clinical data with 0.79/0.88 micro/macro F1.

Original language	English (US)
Title of host publication	5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023 - Proceedings of the Workshop
Publisher	Association for Computational Linguistics (ACL)
Pages	191-199
Number of pages	9
ISBN (Electronic)	9781959429883
State	Published - 2023
Event	5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023. held at ACL 2023 - Toronto, Canada Duration: Jul 14 2023 → …

Publication series

Name	Proceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN (Print)	0736-587X

Conference

Conference	5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023. held at ACL 2023
Country/Territory	Canada
City	Toronto
Period	7/14/23 → …

ASJC Scopus subject areas

Computer Science Applications
Linguistics and Language
Language and Linguistics

Cite this

Yao, J., Bethard, S., Wright-Bettner, K., Goldner, E., Harris, D., & Savova, G. (2023). Textual Entailment for Temporal Dependency Graph Parsing. In 5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023 - Proceedings of the Workshop (pp. 191-199). (Proceedings of the Annual Meeting of the Association for Computational Linguistics). Association for Computational Linguistics (ACL).

Textual Entailment for Temporal Dependency Graph Parsing. / Yao, Jiarui; Bethard, Steven; Wright-Bettner, Kristin et al.
5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023 - Proceedings of the Workshop. Association for Computational Linguistics (ACL), 2023. p. 191-199 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yao, J, Bethard, S, Wright-Bettner, K, Goldner, E, Harris, D & Savova, G 2023, Textual Entailment for Temporal Dependency Graph Parsing. in 5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023 - Proceedings of the Workshop. Proceedings of the Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), pp. 191-199, 5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023. held at ACL 2023, Toronto, Canada, 7/14/23.

Yao J, Bethard S, Wright-Bettner K, Goldner E, Harris D, Savova G. Textual Entailment for Temporal Dependency Graph Parsing. In 5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023 - Proceedings of the Workshop. Association for Computational Linguistics (ACL). 2023. p. 191-199. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

Yao, Jiarui ; Bethard, Steven ; Wright-Bettner, Kristin et al. / Textual Entailment for Temporal Dependency Graph Parsing. 5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023 - Proceedings of the Workshop. Association for Computational Linguistics (ACL), 2023. pp. 191-199 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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Textual Entailment for Temporal Dependency Graph Parsing

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