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Natural Language Querying System Through Entity Enrichment

arXiv 2410.15753 ↗First posted 21 Oct 2024cs.CL cs.DBcited by 0

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Abstract (arXiv)

This paper focuses on a domain expert querying system over databases. It presents a solution designed for a French enterprise interested in offering a natural language interface for its clients. The approach, based on entity enrichment, aims at translating natural language queries into database queries. In this paper, the database is treated through a logical paradigm, suggesting the adaptability of our approach to different database models. The good precision of our method is shown through some preliminary experiments.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 45 of its 515 references that are in the map. First posted on arXiv 21 Oct 2024.

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