MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning

Zhenrui Yue; Huimin Zeng; Yang Zhang; Lanyu Shang; Dong Wang

doi:10.18653/v1/2023.acl-long.286

MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning

Zhenrui Yue
, Huimin Zeng
, Yang Zhang
, Lanyu Shang
, Dong Wang

University of Illinois Urbana-Champaign

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

Original language	English
Title of host publication	Proceedings Of The 61st Annual Meeting Of The Association For Computational Linguistics, Acl 2023, Vol 1
Editors	A Rogers, J Boyd-Graber, N Okazaki
Publisher	Association for Computational Linguistics (ACL)
Pages	5223-5239
Number of pages	17
ISBN (Electronic)	9781959429722
DOIs	https://doi.org/10.18653/v1/2023.acl-long.286
State	Published - 2023
Externally published	Yes
Event	61st Annual Meeting of the Association for Computational Linguistics, ACL 2023 - Toronto, Canada Duration: Jul 9 2023 → Jul 14 2023

Publication series

Name	Proceedings of the Annual Meeting of the Association for Computational Linguistics
Volume	1
ISSN (Print)	0736-587X

Conference

Conference	61st Annual Meeting of the Association for Computational Linguistics, ACL 2023
Country/Territory	Canada
City	Toronto
Period	7/9/23 → 7/14/23

ASJC Scopus Subject Areas

Computer Science Applications
Linguistics and Language
Language and Linguistics

Access to Document

10.18653/v1/2023.acl-long.286

Cite this

Yue, Z., Zeng, H., Zhang, Y., Shang, L., & Wang, D. (2023). MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning. In A. Rogers, J. Boyd-Graber, & N. Okazaki (Eds.), Proceedings Of The 61st Annual Meeting Of The Association For Computational Linguistics, Acl 2023, Vol 1 (pp. 5223-5239). (Proceedings of the Annual Meeting of the Association for Computational Linguistics; Vol. 1). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2023.acl-long.286

MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning. / Yue, Zhenrui; Zeng, Huimin; Zhang, Yang et al.
Proceedings Of The 61st Annual Meeting Of The Association For Computational Linguistics, Acl 2023, Vol 1. ed. / A Rogers; J Boyd-Graber; N Okazaki. Association for Computational Linguistics (ACL), 2023. p. 5223-5239 (Proceedings of the Annual Meeting of the Association for Computational Linguistics; Vol. 1).

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

Yue, Z, Zeng, H, Zhang, Y, Shang, L & Wang, D 2023, MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning. in A Rogers, J Boyd-Graber & N Okazaki (eds), Proceedings Of The 61st Annual Meeting Of The Association For Computational Linguistics, Acl 2023, Vol 1. Proceedings of the Annual Meeting of the Association for Computational Linguistics, vol. 1, Association for Computational Linguistics (ACL), pp. 5223-5239, 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023, Toronto, Canada, 7/9/23. https://doi.org/10.18653/v1/2023.acl-long.286

Yue Z, Zeng H, Zhang Y, Shang L, Wang D. MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning. In Rogers A, Boyd-Graber J, Okazaki N, editors, Proceedings Of The 61st Annual Meeting Of The Association For Computational Linguistics, Acl 2023, Vol 1. Association for Computational Linguistics (ACL). 2023. p. 5223-5239. (Proceedings of the Annual Meeting of the Association for Computational Linguistics). doi: 10.18653/v1/2023.acl-long.286

Yue, Zhenrui ; Zeng, Huimin ; Zhang, Yang et al. / MetaAdapt : Domain Adaptive Few-Shot Misinformation Detection via Meta Learning. Proceedings Of The 61st Annual Meeting Of The Association For Computational Linguistics, Acl 2023, Vol 1. editor / A Rogers ; J Boyd-Graber ; N Okazaki. Association for Computational Linguistics (ACL), 2023. pp. 5223-5239 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning

Publication series

Conference

ASJC Scopus Subject Areas

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