A Study on Paraphrase Recognition Using Radial Basis Function Neural Network

Abstract

Paraphrasing is the restatement of a given text using alternate words. Recognition of paraphrases is vital in applications such as question answering, information extraction, and multi-document summarization. Lexical, syntactic, and semantic features of text can be used either individually or in combinations for recognizing paraphrases. Several machine-learning classifiers such as support vector machines (SVM), nearest neighbour method, and decision trees have been used for paraphrase recognition with SVM recognizers being the most popular ones. This paper explores the applicability of neural networks for paraphrase recognition. A radial basis function neural network (RBFNN) has been designed and implemented for recognizing paraphrases. Experiments have been carried out on the Microsoft research paraphrase corpus. From the results of the experiments, it has been observed that the RBFNN recognizer consistently outperforms the SVM recognizer with respect to accuracy and that the best performance was achieved when a combination of lexical, syntactic, and semantic features were used.

Keywords:

• Paraphrase recognition
• Radial basis function neural networks
• Support vector machines

Additional information

Notes on contributors

A. Chitra

A. Chitra is working as Professor in the Department of Computer Science and Engineering, PSG College of Technology, Coimbatore. She has published three books and around 75 papers in International/National Journals and Conferences. Dr.Chitra is Principal Investigator for several sponsored R&D projects. She is a recipient of Tamil Nadu Young Women Scientist Award and ISTE National Award for Outstanding Academician. Her areas of interest include: Soft Computing, Information Retrieval, Compiler Design, Agent Technology and Machine Intelligence.

E-mail: [email protected]

Anupriya Rajkumar

Anupriya Rajkumar is working as an Assistant Professor in the Department of Computer Science and Engineering, Dr.Mahalingam College of Engineering and Technology, Pollachi. She is currently pursuing Ph.D under the guidance of Dr. A Chitra. Her areas of interest include: Natural Language Processing, Soft Computing and Information Retrieval.

E-mail: [email protected]