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General Information
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2015 Vol. 5(4): 294-300 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2015.V5.523

Performance Evaluation Techniques for an Automatic Question Answering System

Tilani Gunawardena, Nishara Pathirana, Medhavi Lokuhetti, Roshan Ragel, and Sampath Deegalla
Abstract—Automatic question answering (QA) is an interesting and challenging problem. Generally such problems are handled under two categories: open domain problems and close domain problems. Here the challenge is to understand the natural language question so that the solution could be matched to the respective answer in the database. In this paper we used a template matching technique to perform this matching. The first part of the paper discusses about an automatic question answering system that we have developed using template matching techniques. The approach adopted is an automated FAQ (Frequently Asked Question) answering system that provides pre-stored answers to user questions asked in ordinary English and SMS language. The system also has techniques to overcome spelling and grammar mistakes introduced in questions by its users and therefore user-friendly compared to restricted syntax based approaches. The second part of the paper studies three techniques for performance evaluation in the above system which are based on template matching approach: 1) Random classification of templates, 2) Similarity based classification of templates, 3) Weighting template words.

Index Terms—Evaluation technique, question answering, NLP, template matching, FAQ, answering system.

T. Gunawardena is with the Department of Mathematics and Computer Science, University of Basilicata, Italy (e-mail: etilani@gmail.com).
N. Pathirana is with the University Politehnica of Bucharest, Romania (e-mail: nishara.pdn@gmail.com).
M. Lokuhetti is with the IFS Software Company, Sri Lanka (e-mail: medhavimpl@gmail.com).
R. Ragel and S. Deegalla are with the Faculty of Engineering, University of Peradeniya, Sri Lanka (e-mail: roshanr@pdn.ac.lk, dsdeegalla@pdn.ac.lk).


Cite: Tilani Gunawardena, Nishara Pathirana, Medhavi Lokuhetti, Roshan Ragel, and Sampath Deegalla, "Performance Evaluation Techniques for an Automatic Question Answering System," International Journal of Machine Learning and Computing vol. 5, no. 4, pp. 294-300, 2015.

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