Natural Language Querying System Through Entity Enrichment - Archive ouverte HAL
Communication Dans Un Congrès Année : 2020

Natural Language Querying System Through Entity Enrichment

Résumé

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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Dates et versions

hal-02959502 , version 1 (18-10-2024)

Identifiants

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Joshua Amavi, Mirian Halfeld Ferrari, Nicolas Hiot. Natural Language Querying System Through Entity Enrichment. ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium - International Workshops: DOING, MADEISD, SKG, BBIGAP, SIMPDA, AIMinScience 2020 and Doctoral Consortium, 2020, Lyon, France. pp.36-48, ⟨10.1007/978-3-030-55814-7_3⟩. ⟨hal-02959502⟩
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