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QUEST: A Natural Language Interface to Relational Databases

Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

DOI:10.63317/399pd9wvqqqc

Abstract

Natural language interfaces to databases systems allow the user to use natural language to interrogate a database. Current systems mainly focus on simple queries but neglect nested queries, which are predominant in real cases. We present a NLIDB system, QUEST, which is able to cope with nested logic queries, without imposing any restriction on the input query. QUEST outperforms a strong baseline system by 11% accuracy.

Details

Paper ID
lrec2018-main-469
Pages
N/A
BibKey
sheinin-etal-2018-quest
Editors
Nicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis, Takenobu Tokunaga
Publisher
European Language Resources Association (ELRA)
ISSN
2522-2686
ISBN
79-10-95546-00-9
Conference
Eleventh International Conference on Language Resources and Evaluation
Location
Miyazaki, Japan
Date
7 - 12 May 2018

Authors

  • VS

    Vadim Sheinin

  • EK

    Elahe Khorashani

  • HY

    Hangu Yeo

  • KX

    Kun Xu

  • NV

    Ngoc Phuoc An Vo

  • OP

    Octavian Popescu

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