2010 AnEntityLevelApproachtoInformat
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- (Haghighi et al., 2010) ⇒ Aria Haghighi, and Dan Klein. (2010). “An Entity-level Approach to Information Extraction.” In: Proceedings of the ACL 2010 Conference Short Papers.
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Cited By
- http://scholar.google.com/scholar?q=%22An+entity-level+approach+to+information+extraction%22+2010
- http://dl.acm.org/citation.cfm?id=1858842.1858896&preflayout=flat#citedby
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Abstract
We present a generative model of template-filling in which coreference resolution and role assignment are jointly determined. Underlying template roles first generate abstract entities, which in turn generate concrete textual mentions. On the standard corporate acquisitions dataset, joint resolution in our entity-level model reduces error over a mention-level discriminative approach by up to 20%.
References
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2010 AnEntityLevelApproachtoInformat | Dan Klein Aria Haghighi | An Entity-level Approach to Information Extraction | 2010 |