  This study deals with the problem of information retrieval (IR) for
Vietnamese legal texts. Despite being well researched in many languages,
information retrieval has still not received much attention from the Vietnamese
research community. This is especially true for the case of legal documents,
which are hard to process. This study proposes a new approach for information
retrieval for Vietnamese legal documents using sentence-transformer. Besides,
various experiments are conducted to make comparisons between different
transformer models, ranking scores, syllable-level, and word-level training.
The experiment results show that the proposed model outperforms models used in
current research on information retrieval for Vietnamese documents.
