A Survey of Named Entity Recognition and Classification

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TypeArticle
ConferenceLingvisticae Investigationes, September 2007.
VolumeVolume 30, Edition 1
AbstractThe term “Named Entity”, now widely used in Natural Language Processing, was coined for the Sixth Message Understanding Conference (MUC-6) (R. Grishman & Sundheim 1996). At that time, MUC was focusing on Information Extraction (IE) tasks where structured information of company activities and defense related activities is extracted from unstructured text, such as newspaper articles. In defining the task, people noticed that it is essential to recognize information units like names, including person, organization and location names, and numeric expressions including time, date, money and percent expressions. Identifying references to these entities in text was recognized as one of the important sub-tasks of IE and was called “Named Entity Recognition and Classification (NERC)”.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number49861
NPARC number5763293
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Record identifierd57eb138-c83e-4b35-8341-062747a9dd91
Record created2009-03-29
Record modified2016-05-09
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