Entity extraction is a boring solved problem: or is it?

Authors:
Marc Vilain;Jennifer Su;Suzi Lubar
Affiliations:
The MITRE Corporation, Bedford, MA;The MITRE Corporation and Cornell University, Ithaca, NY;The MITRE Corporation, Bedford, MA
Venue:
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Year:
2007

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Abstract

This paper presents empirical results that contradict the prevailing opinion that entity extraction is a boring solved problem. In particular, we consider data sets that resemble familiar MUC/ACE data, and report surprisingly poor performance for both commercial and research systems. We then give an error analysis that suggests research challenges for entity extraction that are neither boring nor solved.