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12

CICLING
2007
Springer

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Learning for Semantic Parsing

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Learning for Semantic Parsing

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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

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CICLING 2007 | Formal Meaning Representation | Meaning Representations | Natural Language Processing | Natural Language Sentence |

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Added	07 Jun 2010
Updated	07 Jun 2010
Type	Conference
Year	2007
Where	CICLING
Authors	Raymond J. Mooney

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