2001 TextandKnowledgeMiningforCorefe
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- (Harabagiu et al., 2001) ⇒ Sanda M. Harabagiu, Rǎzvan C. Bunescu, and Steven J. Maiorano. (2001). “Text and Knowledge Mining for Coreference Resolution.” In: Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies. doi:10.3115/1073336.1073344
Subject Headings: Coreference Resolution Algorithm; Coreference Resolution Task; Coreference Resolution System
Notes
Cited By
- http://scholar.google.com/scholar?q=%222001%22+Text+and+Knowledge+Mining+for+Coreference+Resolution
- http://dl.acm.org/citation.cfm?id=1073336.1073344&preflayout=flat#citedby
Quotes
Abstract
Traditionally coreference is resolved by satisfying a combination of salience, syntactic, semantic and discourse constraints. The acquisition of such knowledge is time-consuming, difficult and error-prone. Therefore, we present a knowledge minimalist methodology of mining coreference rules from annotated text corpora. Semantic consistency evidence, which is a form of knowledge required by coreference, is easily retrieved from WordNet. Additional consistency knowledge is discovered by a [[meta-bootstrapping algorithm]] applied to unlabeled texts.
References
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Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
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2001 TextandKnowledgeMiningforCorefe | Sanda M. Harabagiu Rǎzvan C. Bunescu Steven J. Maiorano | Text and Knowledge Mining for Coreference Resolution | 10.3115/1073336.1073344 | 2001 |