Title :
Semantic Parsing for Vietnamese Question Answering System
Author :
Vu Xuan Tung;Nguyen Le Minh;Duc Tam Hoang
Author_Institution :
Japan Adv. Inst. of Sci. &
Abstract :
Based on a framework for English, we developed a Vietnamese Question Answering System. The learning paradigm in the framework reduces the burden of providing supervision during semantic parsing. Whilst taking the advantages from this mechanism, we further create our own feature calculation which is suitable for Vietnamese. A method of dynamic learning for feature computation is also presented in this work.
Keywords :
"Semantics","Knowledge discovery","Rivers","Natural languages","Testing","Data models","Context"
Conference_Titel :
Knowledge and Systems Engineering (KSE), 2015 Seventh International Conference on
DOI :
10.1109/KSE.2015.42