Volume 13, Number 3 (12-2016) | JSDP 2016, 13(3): 99-112 | Back to browse issues page


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ghaemi H, kahani M. Question Classification using Ensemble Classifiers . JSDP. 2016; 13 (3) :99-112
URL: http://jsdp.rcisp.ac.ir/article-1-270-en.html

master Ferdowsi University of Mashhad (FUM)
Abstract:   (196 Views)

Question answering systems are produced and developed with the goal of providing short precise answers to questions asked in a natural language. Question classification is one the most important tasks in question answering systems. Question Classification is forecasting the type of response to given question in a natural language. Proposed methods divided into two categories: rule-based and machine learning-based. In this paper, a novel hybrid method for question classification was presented. The results of classifiers Combined By Voting, Behavior knowledge space, Naive Bayes, Decision Template and Dempster-Shafer Combination. The ensemble classifier exploits one rule-based classifier and two learning-based ones (SVM, Sparse Representation). The rule-based classifier includes a set of rules developed in the form of regular expressions. The learning-based classifications are based on lexical and syntactic features of questions. In the last part, the results of classification Combined By common methods in combination of one-class classifiers.

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Type of Study: Research | Subject: Paper
Received: 2014/09/15 | Accepted: 2016/09/7 | Published: 2017/04/23

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