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Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus (2007)
Yuk Wah Wong
and
Raymond J. Mooney
This paper presents the first empirical results to our knowledge on learning synchronous grammars that generate logical forms. Using statistical machine translation techniques, a semantic parser based on a synchronous context-free grammar augmented with lambda-operators is learned given a set of training sentences and their correct logical forms. The resulting parser is shown to be the best-performing system so far in a database query domain.
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Citation:
In
Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL-2007)
, Prague, Czech Republic, June 2007.
Bibtex:
@InProceedings{wong:acl07, title={Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus}, author={Yuk Wah Wong and Raymond J. Mooney}, booktitle={Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL-2007)}, month={June}, address={Prague, Czech Republic}, url="http://www.cs.utexas.edu/users/ai-lab/pub-view.php?PubID=126762", year={2007} }
People
Raymond J. Mooney
Professor
mooney@cs.utexas.edu
Yuk Wah Wong
Alumni
ywwong@cs.utexas.edu
Areas of Interest
Advice-taking Learners
Learning for Semantic Parsing
Natural Language Learning
Machine Learning
Labs
Machine Learning