2008 UnderstandingtheValueofFeatures

• (Bengtson & Roth, 2008) ⇒ Eric Bengtson, and Dan Roth. (2008). “Understanding the Value of Features for Coreference Resolution.” In: Proceedings of the Conference on Empirical Methods in Natural Language Processing.

Subject Headings: Classification-Based Coreference Resolution System; Mention-Pair Coreference Resolution System.

Cited By

• http://scholar.google.com/scholar?q=%222008%22+Understanding+the+Value+of+Features+for+Coreference+Resolution
• http://dl.acm.org/citation.cfm?id=1613715.1613756&preflayout=flat#citedby

Quotes

Abstract

In recent years there has been substantial work on the important problem of coreference resolution, most of which has concentrated on the development of new models and algorithmic techniques. These works often show that complex models improve over a weak pairwise baseline. However, less attention has been given to the importance of selecting strong features to support learning a coreference model. This paper describes a rather simple pairwise classification model for coreference resolution, developed with a well-designed set of features. We show that this produces a state-of-the-art system that outperforms systems built with complex models. We suggest that our system can be used as a baseline for the development of more complex models - which may have less impact when a more robust set of features is used. The paper also presents an ablation study and discusses the relative contributions of various features.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2008 UnderstandingtheValueofFeatures	Eric Bengtson Dan Roth			Understanding the Value of Features for Coreference Resolution						2008