Learning for Semantic Parsing with Statistical Machine Translation

@inproceedings{Wong2006LearningFS,
  title={Learning for Semantic Parsing with Statistical Machine Translation},
  author={Y. W. Wong and R. Mooney},
  booktitle={HLT-NAACL},
  year={2006}
}
We present a novel statistical approach to semantic parsing, WASP, for constructing a complete, formal meaning representation of a sentence. A semantic parser is learned given a set of sentences annotated with their correct meaning representations. The main innovation of WASP is its use of state-of-the-art statistical machine translation techniques. A word alignment model is used for lexical acquisition, and the parsing model itself can be seen as a syntax-based translation model. We show that… Expand
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