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...
Main Authors: | Chen, Harr, Benson, Edward Oscar, Naseem, Tahira, Barzilay, Regina |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Association for Computing Machinery
2012
|
Online Access: | http://hdl.handle.net/1721.1/73079 https://orcid.org/0000-0002-2921-8201 |
Similar Items
-
Event discovery in social media feeds
by: Benson, Edward Oscar, et al.
Published: (2012) -
Using Universal Linguistic Knowledge to Guide Grammar Induction
by: Naseem, Tahira, et al.
Published: (2011) -
Using semantic cues to learn syntax
by: Naseem, Tahira, et al.
Published: (2012) -
Selective Sharing for Multilingual Dependency Parsing
by: Naseem, Tahira, et al.
Published: (2014) -
Unsupervised multilingual grammar induction
by: Snyder, Benjamin, et al.
Published: (2010)