Natural Language Querying System Through Entity Enrichment

TL;DR

This paper introduces a natural language querying system for databases that uses entity enrichment to accurately translate user queries into database commands, demonstrating promising preliminary results.

Contribution

It presents a novel entity enrichment approach for translating natural language queries into database queries, adaptable to various database models.

Findings

High precision in preliminary experiments

Approach adaptable to different database paradigms

Effective translation of natural language to database queries

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.