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2009

Extracting Paraphrases of Technical Terms from Noisy Parallel Software Corpora

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Extracting Paraphrases of Technical Terms from Noisy Parallel Software Corpora
In this paper, we study the problem of extracting technical paraphrases from a parallel software corpus, namely, a collection of duplicate bug reports. Paraphrase acquisition is a fundamental task in the emerging area of text mining for software engineering. Existing paraphrase extraction methods are not entirely suitable here due to the noisy nature of bug reports. We propose a number of techniques to address the noisy data problem. The empirical evaluation shows that our method significantly improves an existing method by up to 58%.
Xiaoyin Wang, David Lo, Jing Jiang, Lu Zhang, Hong
Added 16 Feb 2011
Updated 16 Feb 2011
Type Journal
Year 2009
Where ACL
Authors Xiaoyin Wang, David Lo, Jing Jiang, Lu Zhang, Hong Mei
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