• DOI:10.18653/v1/N16-1074
Corpus ID: 14074691

Probabilistic Models for Learning a Semantic Parser Lexicon

@inproceedings{Krishnamurthy2016ProbabilisticMF,
  title={Probabilistic Models for Learning a Semantic Parser Lexicon},
  author={J. Krishnamurthy},
  booktitle={HLT-NAACL},
  year={2016}
}

• J. Krishnamurthy
• Published in HLT-NAACL 2016
• Computer Science

We introduce several probabilistic models for learning the lexicon of a semantic parser. Lexicon learning is the first step of training a semantic parser for a new application domain and the quality of the learned lexicon significantly affects both the accuracy and efficiency of the final semantic parser. Existing work on lexicon learning has focused on heuristic methods that lack convergence guarantees and require significant human input in the form of lexicon templates or annotated logical… Expand

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