Publication Type
Conference Paper
Version
submittedVersion
Publication Date
8-2009
Abstract
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 upto 58%
Discipline
Software Engineering
Research Areas
Software Systems
Publication
CLShort '09: Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
First Page
197
Last Page
200
City or Country
ACM
Citation
WANG, Xiaoyin; LO, David; JIANG, Jing; ZHANG, LU; and Mei, Hong.
Extracting Paraphrases of Technical Terms from Noisy Parallel Software Corpus. (2009). CLShort '09: Proceedings of the ACL-IJCNLP 2009 Conference Short Papers. 197-200.
Available at: https://ink.library.smu.edu.sg/sis_research/472
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://dl.acm.org/citation.cfm?id=1667583.1667644