Paper ID: 2410.15753

Natural Language Querying System Through Entity Enrichment

Joshua Amavi, Mirian Halfeld Ferrari (LIFO, Pamda), Nicolas Hiot (LIFO, Pamda)

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.

Submitted: Oct 21, 2024