Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles

Weipeng Zhou; Majid Afshar; Yanjun Gao; Dmitriy Dligach; Timothy A. Miller

Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles

Weipeng Zhou, Majid Afshar, Yanjun Gao, Dmitriy Dligach, Timothy A. Miller

Department of Computer Science

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

Original language	English
Title of host publication	5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023 - Proceedings of the Workshop
Publisher	Association for Computational Linguistics (ACL)
Pages	125-130
Number of pages	6
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

Zhou, W., Afshar, M., Gao, Y., Dligach, D., & Miller, T. A. (2023). Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. In 5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023 - Proceedings of the Workshop (pp. 125-130). (Proceedings of the Annual Meeting of the Association for Computational Linguistics). Association for Computational Linguistics (ACL).

Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. / Zhou, Weipeng; Afshar, Majid; Gao, Yanjun et al.
5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023 - Proceedings of the Workshop. Association for Computational Linguistics (ACL), 2023. p. 125-130 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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

Zhou, W, Afshar, M, Gao, Y, Dligach, D & Miller, TA 2023, Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. 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. 125-130, 5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023. held at ACL 2023, Toronto, Canada, 7/14/23.

Zhou W, Afshar M, Gao Y, Dligach D, Miller TA. Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. In 5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023 - Proceedings of the Workshop. Association for Computational Linguistics (ACL). 2023. p. 125-130. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

Zhou, Weipeng ; Afshar, Majid ; Gao, Yanjun et al. / Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. 5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023 - Proceedings of the Workshop. Association for Computational Linguistics (ACL), 2023. pp. 125-130 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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title = "Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles",

author = "Weipeng Zhou and Majid Afshar and Yanjun Gao and Dmitriy Dligach and Miller, {Timothy A.}",

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Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles

Publication series

Conference

ASJC Scopus Subject Areas

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Cite this