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2012 (Vol. 4, Issue: 22)
Article Information:

Paraphrase Identification using Semantic Heuristic Features

Zia Ul-Qayyum and Wasif Altaf
Corresponding Author:  Zia Ul-Qayyum 

Key words:  Natural language generation, natural language processing, paraphrase detection, , , ,
Vol. 4 , (22): 4894-4904
Submitted Accepted Published
May 22, 2012 June 08, 2012 November 15, 2012
Abstract:

Paraphrase Identification (PI) problem is to classify that whether or not two sentences are close enough in meaning to be termed as paraphrases. PI is an important research dimension with practical applications in Information Extraction (IE), Machine Translation, Information Retrieval, Automatic Identification of Copyright Infringement, Question Answering Systems and Intelligent Tutoring Systems, to name a few. This study presents a novel approach of paraphrase identification using semantic heuristic features envisaging improving the accuracy compared to state-of-the-art PI systems. Finally, a comprehensive critical analysis of misclassifications is carried out to provide insightful evidence about the proposed approach and the corpora used in the experiments.
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  Cite this Reference:
Zia Ul-Qayyum and Wasif Altaf, 2012. Paraphrase Identification using Semantic Heuristic Features.  Research Journal of Applied Sciences, Engineering and Technology, 4(22): 4894-4904.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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