Difference between revisions of "Named Entity Recognition"
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== Summary == | == Summary == | ||
| − | Named Entity Recognition (or NER for short) is a [[category::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, etc. | + | Named Entity Recognition (or NER for short) is a [[category::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 == | == Common Approaches == | ||
Revision as of 17:29, 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 ...
Example Systems
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References / Links
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