A Syntactic Neural Model for General-Purpose Code Generation

ACL 2017 Pengcheng YinGraham Neubig

We consider the problem of parsing natural language descriptions into source code written in a general-purpose programming language like Python. Existing data-driven methods treat this problem as a language generation task without considering the underlying syntax of the target programming language... (read more)

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