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VLSP 2023 -- LTER: A Summary of the Challenge on Legal Textual Entailment Recognition

Authors :
Tran, Vu
Nguyen, Ha-Thanh
Vo, Trung
Luu, Son T.
Dang, Hoang-Anh
Le, Ngoc-Cam
Le, Thi-Thuy
Nguyen, Minh-Tien
Nguyen, Truong-Son
Nguyen, Le-Minh
Publication Year :
2024

Abstract

In this new era of rapid AI development, especially in language processing, the demand for AI in the legal domain is increasingly critical. In the context where research in other languages such as English, Japanese, and Chinese has been well-established, we introduce the first fundamental research for the Vietnamese language in the legal domain: legal textual entailment recognition through the Vietnamese Language and Speech Processing workshop. In analyzing participants' results, we discuss certain linguistic aspects critical in the legal domain that pose challenges that need to be addressed.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2403.03435
Document Type :
Working Paper