Question Classification: A Review of State-of-the-Art Algorithms and Approaches

S  Jayalakshmi   and Ananthi Sheshasaayee

doi:10.17485/ijst/2015/v8i29/87466

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Question Classification: A Review of State-of-the-Art Algorithms and Approaches

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8i29/87466

Year: 2015, Volume: 8, Issue: 29, Pages: 1-4

Original Article

Question Classification: A Review of State-of-the-Art Algorithms and Approaches

S. Jayalakshmi^1* and Ananthi Sheshasaayee²

¹Periyar University, Salem – 636011, Tamil Nadu, India; [email protected]
² PG and Research Department of Computer Science, Quaid-e-Millath Government College for Women (Autonomous), Chennai – 600002, Tamil Nadu, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

In the recent year Question Answering System achieved significant progress in which Question Classification is an essential component. To design a question classification that assign a semantic category to a given question that represents the type of answer required resulting in an accurate Answer. In this paper present various question classification approaches and techniques, Most of the researches are used to combine Syntactic, Lexical and Semantic features are used to reduce the misclassification. These three techniques are used to improve the efficiency of the question classifications. The existing classifier lacks in accuracy, especially in fine class classification, from the various existing researches are practiced Machine Learning is the best methodology to evaluate the question classification in an appropriate way.
Keywords: Machine Learning, Question Classification, Semantic Similarity, Syntactic Features