Learning Deep Semantic Model for Code Search using CodeSearchNet Corpus. (arXiv:2201.11313v1 [cs.CL])

Semantic code search is the task of retrieving relevant code snippet given a
natural language query. Different from typical information retrieval tasks,
code search requires to bridge the semantic gap between the programming
language and natural language, for better describing intrinsic concepts and
semantics. Recently, deep neural network for code search has been a hot
research topic. Typical methods for neural code search first represent the code
snippet and query text as separate embeddings, and then use vector distance
(e.g. …

arxiv code learning search semantic