relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1606/
title: L2S: Transforming natural language questions into SQL queries
creator: Hoang, Duc Tam
creator: Nguyen, Le Minh
creator: Pham, Bao Son
subject: Information Technology (IT)
description: The reliability of a question answering system is bounded by the availability of resources and linguistic tools. In this paper, we introduce a hybrid approach to transforming natural language questions into structured queries. It alleviates the lack of experts in domain observation and the deficient performance of linguistic tools. Specifically, we exploit the semantic information for mapping natural language terminologies to structured query and bipartite graph model for the matching phase. Experimental results on the Vietnam national university entrance exam dataset and the Geoqueries880 dataset achieve accuracies of 91.14% and 87.55%, respectively.
date: 2015
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Hoang, Duc Tam and Nguyen, Le Minh and Pham, Bao Son  (2015) L2S: Transforming natural language questions into SQL queries.  In: KSE: the 2015 International Conference on Knowledge and Systems Engineering, 8-10 October 2015, Ho Chi Minh city, Vietnam.