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.
@article{arxiv.2410.15753,
title = {Natural Language Querying System Through Entity Enrichment},
author = {Joshua Amavi and Mirian Halfeld Ferrari and Nicolas Hiot},
journal= {arXiv preprint arXiv:2410.15753},
year = {2024}
}