home kb Information and Knowledge Technologies Information Extraction Named Entity Recognition Named Entity Recognition
External Links
Google Scholar
provided by
German Research Center for Artificial Intelligence
with support by
as well as by

Named Entity Recognition

abbreviation(s): NERC
definition: Named entity (NE) recognition is a form of information extraction in which the major task is to identify and classify from NL text every word or sequence of words as being a person-name, organizaton, location, date, time, monetary value, percentage expression. NE recognition has a high impact for a number of applications, like e.g., InterNet search engines, text data mining or answer extraction.
related project(s):
  • Proteus
  • Finite-State Automa-based Text Understanding System (Fastus)
  • a MUlti-Source Entity finder (MUSE)
  • Whiteboard
related organisation(s):
related person(s):
  • Günter Neumann
  • Hamish Cunningham
  • Alessandro Cucchiarelli
  • Ralph Grishman
  • Richard Evan Schwartz
  • Robert Gaizauskas
  • Ralph Weischedel
  • Daniel M. Bikel
  • Robert Yangarber
  • Michael Collins
  • Andrew Borthwick
  • Fabio Ciravegna
related system(s) / resource(s):
  • Cymfony
  • Intelligent Miner for Text
  • ChoiceMaker 1.0
  • IdentiFinderTM
  • GATE
relevant source(s):
related publication(s):

Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition.
Tjong Kim Sang, Erik F. and De Meulder, Fien. Proceedings of CoNLL-2003. 2003. 142--147.

Memory-Based Named Entity Recognition using Unannotated Data.
De Meulder, Fien and Walter Daelemans.
Proceedings of CoNLL-2003. 2003. 208--211.

Named Entity Recognition with Character-Level Models.
Dan Klein and Joseph Smarr and Huy Nguyen and Christopher D. Manning.
Proceedings of CoNLL-2003. 2003. 180--183.

Named Entity Recognition through Classifier Combination.
Radu Florian and Abe Ittycheriah and Hongyan Jing and Tong Zhang.
Proceedings of CoNLL-2003. 2003. 168--171.

Named Entity Recognition with a Maximum Entropy Approach.
Chieu, Hai Leong and Ng, Hwee Tou.
Proceedings of CoNLL-2003. 2003. 160--163.

Learning to Recognize Names Across Languages.
A. Gallippi.
acl96. Santa Cruz, California, USA. 1996.

Nymble: a High-Performance Learning Name-finder.
D. M. Bikel and S. Miller and R. Schwartz and R. Weischedel.
anlp97. Washington, USA. March 1997.

An Intelligent Text Extraction and Navigation System.
J. Piskorski and G. Neumann. Proceedings of the 6th RIAO. April 2000.

A Maximum Entropy Approach to Named Entity Recognition.
A. Borthwick. 1999.