Learning for Semantic Parsing

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Learning for Semantic Parsing
Semantic parsing is the task of mapping a natural language sentence into a complete, formal meaning representation. Over the past decade, we have developed a number of machine learning methods for inducing semantic parsers by training on a corpus of sentences paired with their meaning representations in a specified formal language. We have demonstrated these methods on the automated construction of naturallanguage interfaces to databases and robot command languages. This paper reviews our prior work on this topic and discusses directions for future research.
Raymond J. Mooney
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Authors Raymond J. Mooney
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