Natural Language Querying System Through Entity Enrichment
This is an incremental solution for domain experts and clients needing natural language querying over databases.
The paper tackles the problem of translating natural language queries into database queries for a French enterprise's client interface, using an entity enrichment approach, and reports good precision in preliminary experiments.
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.