Corpus ID: 5667590

Driving Semantic Parsing from the World's Response

@inproceedings{Clarke2010DrivingSP,
  title={Driving Semantic Parsing from the World's Response},
  author={J. Clarke and Dan Goldwasser and Ming-Wei Chang and D. Roth},
  booktitle={CoNLL},
  year={2010}
}
Current approaches to semantic parsing, the task of converting text to a formal meaning representation, rely on annotated training data mapping sentences to logical forms. [...] Key Method In addition we reformulate the semantic parsing problem to reduce the dependency of the model on syntactic patterns, thus allowing our parser to scale better using less supervision. Our results surprisingly show that without using any annotated meaning representations learning with a weak feedback signal is capable of…Expand
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