2003 TowardConditionalModelsofIdenti

• (McCallum & Wellner, 2003) ⇒ Andrew McCallum, and Ben Wellner. (2003). “Toward Conditional Models of Identity Uncertainty with Application to Proper Noun Coreference.” In: Proceedings of the 2003 International Conference on Information Integration on the Web.

Subject Headings: Coreference Resolution Algorithm; Coreference Resolution Task; Coreference Resolution System

Cited By

• http://scholar.google.com/scholar?q=%222003%22+Toward+Conditional+Models+of+Identity+Uncertainty+with+Application+to+Proper+Noun+Coreference
• http://dl.acm.org/citation.cfm?id=3104278.3104294&preflayout=flat#citedby

Quotes

Abstract

Coreference analysis, also known as record linkage or identity uncertainty, is a difficult and important problem in natural language processing, databases, citation matching and many other tasks. This paper introduces several discriminative, conditionalprobability models for coreference analysis, all examples of undirected graphical models. Unlike many historical approaches to coreference, the models presented here are relational — they do not assume that pairwise coreference decisions should be made independently from each other. Unlike other relational models of coreference that are generative, the conditional model here can incorporate a great variety of features of the input without having to be concerned about their dependencies — paralleling the advantages of conditional random fields over hidden Markov models. We present experiments on proper noun coreference in two text data sets, showing results in which we reduce error by nearly 28% or more over traditional thresholded record-linkage, and by up to 33% over an alternative coreference technique previously used in natural language processing

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2003 TowardConditionalModelsofIdenti	Ben Wellner Andrew McCallum			Toward Conditional Models of Identity Uncertainty with Application to Proper Noun Coreference						2003