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Question Classification: Semantic Feature


Affiliations
1 SOA University, Bhubaneswar, India
2 BIT, Durg, India
3 R & D, RCET Raipur, India
     

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Question classification is very important for question answering. This paper presents our research work on question classification through machine learning approach. In order to train the learning model, we designed a rich set of features that are predictive of question categories. We then performed a series of different experiments with the goal of determining the most discriminative set of features that yield the most accurate results.

Keywords

Question Answering, Machine Learning, Support Vector Machine, Question Classification, Lexical Features, Syntactical Features, Semantic Features, Combination of Features.
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  • Question Classification: Semantic Feature

Abstract Views: 233  |  PDF Views: 1

Authors

Megha Mishra
SOA University, Bhubaneswar, India
Vishnu Kumar Mishra
BIT, Durg, India
H. R. Sharma
R & D, RCET Raipur, India

Abstract


Question classification is very important for question answering. This paper presents our research work on question classification through machine learning approach. In order to train the learning model, we designed a rich set of features that are predictive of question categories. We then performed a series of different experiments with the goal of determining the most discriminative set of features that yield the most accurate results.

Keywords


Question Answering, Machine Learning, Support Vector Machine, Question Classification, Lexical Features, Syntactical Features, Semantic Features, Combination of Features.