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Abstract
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Article Information:
Paraphrase Identification using Semantic Heuristic Features
Zia Ul-Qayyum and Wasif Altaf
Corresponding Author: Zia Ul-Qayyum
Submitted: May 22, 2012
Accepted: June 08, 2012
Published: November 15, 2012 |
Abstract:
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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.
Key words: Natural language generation, natural language processing, paraphrase detection, , , ,
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Cite this Reference:
Zia Ul-Qayyum and Wasif Altaf, . Paraphrase Identification using Semantic Heuristic Features. Research Journal of Applied Sciences, Engineering and Technology, (22): 4894-4904.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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