relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1885/
title: Using Dependency Analysis to Improve Question Classification
creator: Le, Hong Phuong
creator: Phan, Xuan Hieu
creator: Nguyen, Tien Dung
subject: Information Technology (IT)
description: 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.
date: 2014-10
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1885/1/10.1007%252F978-3-319-11680-8_52
identifier:   Le, Hong Phuong and Phan, Xuan Hieu and Nguyen, Tien Dung  (2014) Using Dependency Analysis to Improve Question Classification.  In: The 8th International Conference on Knowledge and Systems Engineering (KSE), 9-11 October 2014, Hanoi, Vietnam.     
relation: http://doi.org/10.1007/978-3-319-11680-8_52
relation: doi:10.1007/978-3-319-11680-8_52