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


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

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

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Authors

S. Jayalakshmi
Periyar University, Salem – 636011, Tamil Nadu, India
Ananthi Sheshasaayee
PG and Research Department of Computer Science, Quaid-e-Millath Government College for Women (Autonomous), Chennai – 600002, Tamil Nadu, India

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



DOI: https://doi.org/10.17485/ijst%2F2015%2Fv8i29%2F122266