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A Study of Multilingual Approaches to Vietnamese Information Retrieval

A Study of Multilingual Approaches to Vietnamese Information Retrieval

Nguyễn Thị Tuyết Hải

Natural language processing (NLP) applications have an extensive development in various languages. However, information retrieval (IR) for Vietnamese texts has not yet received adequate attention from the research community. In this study, we fne-tune high-quality multilingual embedding models to enhance the effectiveness of document retrieval. Additionally, we investigate several approaches to information retrieval in order to gain deeper insights into their performance and applicability.

Xuất bản trên:

A Study of Multilingual Approaches to Vietnamese Information Retrieval

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Từ khoá:

Vietnamese texts, embedding-based representation, information retrieval, transformer.