TY  - CONF
ID  - SisLab1606
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1606/
A1  - Hoang, Duc Tam
A1  - Nguyen, Le Minh
A1  - Pham, Bao Son
Y1  - 2015///
N2  - 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.
TI  - L2S: Transforming natural language questions into SQL queries
M2  - Ho Chi Minh city, Vietnam
AV  - none
T2  - KSE: the 2015 International Conference on Knowledge and Systems Engineering
ER  -