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Pre-print.pdf

2011.11950.pdf
Preview of Pre-print
🔗 Source: arxiv.org
📊 Size: 347 KB
📄 Pages: 5 pages
⬇️ Downloads: 42

Summary

Developers use search engines to find code, and natural language-based code search is an active research area, but lacks large-scale datasets. A weak supervision-based approach is proposed to detect code search intent in search queries for C# and Java. The approach uses a generative model to label training data, which is then used to train discriminative models. A large-scale dataset, Search4Code, is released, comprising over 1 million queries mined from Bing web search engine. The CNN-based model achieves an accuracy of 77% and 76% for C# and Java, respectively.

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Description

Developers use search engines to find code, and natural language-based code search is an active research area, but lacks large-scale datasets.

Technical Information

  • File Format: PDF
  • File Size: 347 KB
  • Pages: 5
  • Language: EN
  • Total Downloads: 42
  • Last Updated: 2 weeks ago

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