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Research Journal of Engineering and Technology
ISSN: 2321-581X(Online), 0976-2973(Print)
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An Impact of Machine Learning with Lexcio-Syntatics Features of Question Classification
Vishnu Kumar Mishra
Megha Mishra1, Vishnu Kumar Mishra2, H.R. Sharma3
1Research Scholar SOA University, Bhubneswar
2Asstt. Professor, BIT, Durg
3Dean R &D, RECT Raipur
Question classification is very important for question answering. This paper presents our research work on question classification through machine learning approaches. We have experimented with three machine learning algorithms: Nearest Neighbors (NN), Naïve Bayes (NB), and Support Vector Machines (SVM) using two kinds of features: bag-of-words and bag-of n grams. The experiment results show that with only surface text features the SVM outperforms the other four methods for this task. Further, we propose to use a lexico-syntactic combined feature of question classification.
Question Answering, Machine Learning, Support Vector Machine, Question Classifications, Lexical Features, Syntactical Feature.
Megha Mishra, Vishnu Kumar Mishra, H.R. Sharma. An Impact of Machine Learning with Lexcio-Syntatics Features of Question Classification. Research J. Engineering and Tech. 3(4): Oct-Dec. 2012 page 327-331.
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