Journal Title
Title of Journal: Artif Intell Rev
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Abbravation: Artificial Intelligence Review
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Publisher
Springer Netherlands
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Authors: ChukFong Ho Masrah Azrifah Azmi Murad Shyamala Doraisamy Rabiah Abdul Kadir
Publish Date: 2012/10/10
Volume: 42, Issue: 4, Pages: 851-894
Abstract
Recent advances in natural language processing have increased the popularity of paraphrase extraction Most of the attention however has been focused on the extraction methods only without taking the resource factor into the consideration Unknowingly there is a strong relationship between them and the resource factor also plays an equally important role in paraphrase extraction In addition almost all of the previous studies have been focused on corpusbased methods that extract paraphrases from corpora based solely on syntactic similarity Despite the popularity of corpusbased methods a considerable amount of research has consistently shown that these methods are vulnerable to several types of erroneous paraphrases For these reasons it is necessary to evaluate whether the trend is moving in a positive direction This paper reviews the major research on paraphrase extraction methods in detail It begins by exploring the definition of paraphrase from different perspectives to provide a better understanding of the concept of paraphrase extraction It then studies the characteristics and potential uses of different types of paraphrase resources After that it divides paraphrase extraction methods into four main categories heuristicbased knowledgebased corpusbased and hybridbased and summarizes their strengths and weaknesses This paper concludes with some potential open research issues for future directions
Keywords:
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