Natural Language Querying System Through Entity Enrichment

Joshua Amavi, Mirian Halfeld Ferrari, Nicolas Hiot
10/21/2024
cs.CLcs.DB

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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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Cite this paper

@article{amavi2024natural,
  title  = {Natural Language Querying System Through Entity Enrichment},
  author = {Joshua Amavi and Mirian Halfeld Ferrari and Nicolas Hiot},
  year   = {2024},
  eprint = {2410.15753},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.15753v1}
}

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