When Deep Learning Met Code Search

9 May 2019Jose CambroneroHongyu LiSeohyun KimKoushik SenSatish Chandra

There have been multiple recent proposals on using deep neural networks for code search using natural language. Common across these proposals is the idea of $\mathit{embedding}$ code and natural language queries, into real vectors and then using vector distance to approximate semantic correlation between code and the query... (read more)

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