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arXiv · 2410.15753

Natural Language Querying System Through Entity Enrichment

Joshua Amavi·Mirian Halfeld Ferrari·Nicolas Hiot
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Abstract

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.

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BibTeXRIS

Joshua Amavi, Mirian Halfeld Ferrari, Nicolas Hiot. 2024-10-21. Natural Language Querying System Through Entity Enrichment. https://doi.org/10.1007/978-3-030-55814-7

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