Two improvements to detect duplicates in Stack Overflow

Stack Overflow is one of the most popular question-and-answer sites for programmers. However, there are a great number of duplicate questions that are expected to be detected automatically in a short time. In this paper, we introduce two approaches to improve the detection accuracy: splitting body i...

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Bibliographic Details
Published in2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) pp. 563 - 564
Main Authors Mizobuchi, Yuji, Takayama, Kuniharu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2017
Subjects
Computational modeling
Conferences
Data mining
duplicate question
Feature extraction
HTML
information retrieval
machine learning
Mathematical model
Software
Stack Overflow
word-embedding
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Summary:Stack Overflow is one of the most popular question-and-answer sites for programmers. However, there are a great number of duplicate questions that are expected to be detected automatically in a short time. In this paper, we introduce two approaches to improve the detection accuracy: splitting body into different types of data and using word-embedding to treat word ambiguities that are not contained in the general corpuses. The evaluation shows that these approaches improve the accuracy compared with the traditional method.
DOI:10.1109/SANER.2017.7884678