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Multimodal Representation for Neural Code Search. (arXiv:2107.00992v3 [cs.SE] UPDATED)
Jan. 14, 2022, 2:11 a.m. | Jian Gu, Zimin Chen, Martin Monperrus
cs.LG updates on arXiv.org arxiv.org
Semantic code search is about finding semantically relevant code snippets for
a given natural language query. In the state-of-the-art approaches, the
semantic similarity between code and query is quantified as the distance of
their representation in the shared vector space. In this paper, to improve the
vector space, we introduce tree-serialization methods on a simplified form of
AST and build the multimodal representation for the code data. We conduct
extensive experiments using a single corpus that is large-scale and
multi-language: …
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