Fader et al., 2013 - Google Patents
Paraphrase-driven learning for open question answeringFader et al., 2013
View PDF- Document ID
- 3774134567624808256
- Author
- Fader A
- Zettlemoyer L
- Etzioni O
- Publication year
- Publication venue
- Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
External Links
Snippet
We study question answering as a machine learning problem, and induce a function that maps open-domain questions to queries over a database of web extractions. Given a large, community-authored, question-paraphrase corpus, we demonstrate that it is possible to …
- 238000000605 extraction 0 abstract description 8
Classifications
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- G06F17/30634—Querying
- G06F17/30657—Query processing
- G06F17/30675—Query execution
- G06F17/30684—Query execution using natural language analysis
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