Weakly-supervised Semantic Parsing with Abstract Examples

@inproceedings{Goldman2018WeaklysupervisedSP,
  title={Weakly-supervised Semantic Parsing with Abstract Examples},
  author={Omer Goldman and Veronica Latcinnik and Udi Naveh and Amir Globerson and Jonathan Berant},
  booktitle={ACL},
  year={2018}
}
Training semantic parsers from weak supervision (denotations) rather than strong supervision (programs) complicates training in two ways. First, a large search space of potential programs needs to be explored at training time to find a correct program. Second, spurious programs that accidentally lead to a correct denotation add noise to training. In this work we propose that in closed worlds with clear semantic types, one can substantially alleviate these problems by utilizing an abstract… CONTINUE READING
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