VLSP 2023 -- LTER: A Summary of the Challenge on Legal Textual Entailment Recognition
This work addresses a gap in AI for the legal domain in Vietnamese, but it is incremental as it extends established research from other languages.
The paper introduced the first legal textual entailment recognition challenge for Vietnamese, analyzing participants' results to identify linguistic challenges in the legal domain.
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.