In-domain relation discovery with meta-constraints via posterior regularization

In-domain relation discovery with meta-constraints via posterior regularization

We present a novel approach to discovering relations and their instantiations from a collection of documents in a single domain. Our approach learns relation types by exploiting meta-constraints that characterize the general qualities of a good relation in any domain. These constraints state that in...

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Bibliographic Details
Main Authors: Chen, Harr (Contributor), Benson, Edward Oscar (Contributor), Naseem, Tahira (Contributor), Barzilay, Regina (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for Computing Machinery, 2012-09-20T18:04:40Z.
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