SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checking

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track) 2026 Open access

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Authors: Dien X. Tran, Nam V. Nguyen, Thanh Trung Tran, Anh T. Hoang, Dương Văn Tài, Dung Thi LE, Phuc-Lu Le
DOI: 10.18653/v1/2026.acl-industry.94
Cited by: 0

Abstract

Dien X. Tran, Nam V. Nguyen, Tran Tan Thanh, Anh T. Hoang, Dương Văn Tài, Lê Thanh Di, Phuc-Lu Le. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track). 2026.

Fields of Study & Subjects

Topic Modeling Advanced Text Analysis Techniques Natural Language Processing Techniques

Publication details

Journal / source
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
Publisher
Association for Computational Linguistics
Pages
1341–1358
Publication date
1 January 2026
Language
EN