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Learning paraphrases from WNS corpora

Title
Learning paraphrases from WNS corpora
Type
Article in International Conference Proceedings Book
Year
2007
Authors
Cordeiro, J
(Author)
Other
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Dias, G
(Author)
Other
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Pavel Brazdil
(Author)
FEP
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Conference proceedings International
Pages: 193-198
20th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007
Key West, FL, 7 May 2007 through 9 May 2007
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Other information
Authenticus ID: P-007-K3D
Abstract (EN): Paraphrase detection can be seen as the task of aligning sentences that convey the same information but yet are written in different forms. Such resources are important to automatically learn text-to-text rewriting rules. In this paper, we present a new metric for unsupervised detection of paraphrases and apply it in the context of clustering of paraphrases. An exhaustive evaluation is conducted over a set of standard paraphrase corpora and real-world web news stories (WNS) corpora. The results are promising as they outperform state-of-the-art measures developed for similar tasks. Copyright
Language: English
Type (Professor's evaluation): Scientific
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