eprintid: 1606
rev_number: 9
eprint_status: archive
userid: 21
dir: disk0/00/00/16/06
datestamp: 2016-06-01 13:27:23
lastmod: 2016-06-01 13:27:23
status_changed: 2016-06-01 13:27:23
type: conference_item
metadata_visibility: show
creators_name: Hoang, Duc Tam
creators_name: Nguyen, Le Minh
creators_name: Pham, Bao Son
creators_id: sonpb@vnu.edu.vn
title: L2S: Transforming natural language questions into SQL queries
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: 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
date_type: published
full_text_status: none
pres_type: paper
event_title: KSE: the 2015 International Conference on Knowledge and Systems Engineering
event_location: Ho Chi Minh city, Vietnam
event_dates: 8-10 October 2015
event_type: conference
refereed: TRUE
citation:   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.