Advertisement
Published in:
2015 | OriginalPaper | Chapter
Using Dependency Analysis to Improve Question Classification
Authors : Phuong Le-Hong, Xuan-Hieu Phan, Tien-Dung Nguyen
Published in: Knowledge and Systems Engineering
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Question classification is a first necessary task of automatic question answering systems. Linguistic features play an important role in developing an accurate question classifier. This paper proposes to use typed dependencies which are extracted automatically from dependency parses of questions to improve accuracy of classification. Experiment results show that with only surface typed dependencies, one can improve the accuracy of a discriminative question classifier by over 8.0% on two benchmark datasets.