VLSP 2023 -- LTER: A Summary of the Challenge on Legal Textual Entailment Recognition
Vu Tran
Ha-Thanh Nguyen
Trung Vo
Son T. Luu
Hoang-Anh Dang
Ngoc-Cam Le
Thi-Thuy Le
Minh-Tien Nguyen
Truong-Son Nguyen
Le-Minh Nguyen

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.
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