Published May 26, 2017
10 - A Syntactic Neural Model for General-Purpose Code Generation
Explore cutting-edge techniques in code generation with Peng Cheng Yin and Graham Newbig from Carnegie Mellon University, as they delve into a sequence-to-tree approach that combines neural networks with grammar formalisms for translating natural language into executable code, pushing the boundaries of semantic parsing and neural models.
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