Learning 5000 relational extractors

ACL, pp. 286-295, 2010.

Cited by: 168|Bibtex|Views40
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Abstract:

Many researchers are trying to use information extraction (IE) to create large-scale knowledge bases from natural language text on the Web. However, the primary approach (supervised learning of relation-specific extractors) requires manually-labeled training data for each relation and doesn't scale to the thousands of relations encoded in...More

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