2004 An IntegConditIEandCoref

(Wellner et al., 2004) ⇒ Ben Wellner, Andrew McCallum, Fuchun Peng, Michael Hay. (2004). “An Integrated, Conditional Model of Information Extraction and Coreference with Application to Citation Matching.” In: Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI 2004).

Subject Headings: Entity Mention Normalization Algorithm, Coreference Resolution System.

Notes

Cited By

~122 http://scholar.google.com/scholar?q=%22An+Integrated%2C+Conditional+Model+of+Information+Extraction+and+Coreference+with+Application+to+Citation+Matching%22+2004

2008

(Sarawagi, 2008) ⇒ Sunita Sarawagi. (2008). “Information extraction." FnT Databases, 1(3).

2007

(Poon & Domingos) ⇒ H. Poon and Pedro Domingos. (2007). “Joint inference in information extraction.” In: Proceedings of the Twenty-Second National Conference on Artificial Intelligence (AAAI 2007).
- QUOTE: While a number of previous authors have taken steps in this direction (e.g., Pasula et al (2003), Wellner et al. (2004)), to our knowledge this is the first fully joint approach.

Quotes

Abstract

Although information extraction and coreference resolution appear together in many applications, most current systems perform them as independent steps. This paper describes an approach to integrated inference for extraction and coreference based on conditionally-trained undirected graphical models. We discuss the advantages of conditional probability training, and of a coreference model structure based on graph partitioning. On a data set of research paper citations, we show significant reduction in error by using extraction uncertainty to improve coreference citation matching accuracy, and using coreference to improve the accuracy of the extracted fields.

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2004 An IntegConditIEandCoref	Fuchun Peng Ben Wellner Andrew McCallum Michael Hay			An Integrated, Conditional Model of Information Extraction and Coreference with Application to Citation Matching		Proceedings of the Conference on Uncertainty in Artificial Intelligence	http://portal.acm.org/citation.cfm?id=1036915			2004