Difference between revisions of "Named Entity Recognition"
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== Common Approaches == | == Common Approaches == | ||
| − | Some common approaches to | + | Some common approaches to named entity recognition include the following: |
| + | * | ||
== Example Systems == | == Example Systems == | ||
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== References / Links == | == References / Links == | ||
| − | * .. | + | * Wikipedia page on Named entity recognition [http://en.wikipedia.org/wiki/Named_entity_recognition] |
== Relevant Papers == | == Relevant Papers == | ||
Revision as of 17:31, 30 November 2010
Summary
Named Entity Recognition (or NER for short) is a problem in the field of information extraction that which looks at identifying atomic elements (entities) in text and classifying them into predefined classes such as person names, organizations, locations, dates, etc.
Common Approaches
Some common approaches to named entity recognition include the following:
Example Systems
- ...
References / Links
- Wikipedia page on Named entity recognition [1]
