Learning Programmatic Idioms for Scalable Semantic Parsing

@article{Iyer2019LearningPI,
  title={Learning Programmatic Idioms for Scalable Semantic Parsing},
  author={Srini Iyer and A. Cheung and Luke Zettlemoyer},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.09086}
}
  • Srini Iyer, A. Cheung, Luke Zettlemoyer
  • Published 2019
  • Computer Science
  • ArXiv
  • Programmers typically organize executable source code using high-level coding patterns or idiomatic structures such as nested loops, exception handlers and recursive blocks, rather than as individual code tokens. In contrast, state of the art (SOTA) semantic parsers still map natural language instructions to source code by building the code syntax tree one node at a time. In this paper, we introduce an iterative method to extract code idioms from large source code corpora by repeatedly… CONTINUE READING
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