2011 AnIncrementalModelforCoreferenc

• (Klenner et al., 2011) ⇒ Manfred Klenner, and Don Tuggener. (2011). “An Incremental Model for Coreference Resolution with Restrictive Antecedent Accessibility.” In: Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task.

Subject Headings: Coreference Resolution Algorithm, Coreference Resolution System.

Cited By

• http://scholar.google.com/scholar?q=%22An+incremental+model+for+coreference+resolution+with+restrictive+antecedent+accessibility%22+2011
• http://dl.acm.org/citation.cfm?doid=&preflayout=flat#citedby

Quotes

Abstract

We introduce an incremental entity mention model for entity mention coreference resolution algorithm that competed in the CoNLL 2011 shared task (open regular). We decided to participate with our baseline model, since it worked well with two other datasets. The benefits of an incremental over a mention-pair architecture are: a drastic reduction of the number of candidate pairs, a means to overcome the problem of underspecified items in pairwise classification and the natural integration of global constraints such as transitivity. We do not apply machine learning, instead the system uses an empirically derived salience measure based on the dependency labels of the true mentions. Our experiments seem to indicate that such a system already is on par with machine learning approaches.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2011 AnIncrementalModelforCoreferenc	Manfred Klenner Don Tuggener			An Incremental Model for Coreference Resolution with Restrictive Antecedent Accessibility			http://aclweb.org/anthology-new/R/R11/R11-1025.pdf