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.
@InProceedings{SHEININ18.1100, author = {Vadim Sheinin and Elahe Khorasani and Hangu Yeo and Kun Xu and Ngoc Phuoc An Vo and Octavian Popescu}, title = "{QUEST: A Natural Language Interface to Relational Databases}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
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