Text extracts from: Puzzlepieces
http://faganm.com/blog/2010/01/02/1009/

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Topic-> Natural Language Processing->Information Extraction
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http://faganm.com/blog/2010/01/02/1009/
Puzzlepieces  Comparing NLP APIs for Entity Extraction (January 2, 2010) Puzzlepieces  Comparing NLP APIs for Entity Extraction (January 2, 2010) Update:...
http://faganm.com/blog/2010/01/02/1009/
Named Entity Extraction Evri:...
http://faganm.com/blog/2010/01/02/1009/
24 comments Paras January 3 2010, 10:08 pm Not exactly named entity extraction, but we do have an API for extracting semantic classifications for a URL or a piece of text http://www.wingify.com/contextsense/ Ping me if you want to try out the API....
http://faganm.com/blog/2010/01/02/1009/
if your use case is simply for entity extraction then the volume of entities is rarely the goal -...
http://faganm.com/blog/2010/01/02/1009/
they are term and not entity extraction engines....
http://faganm.com/blog/2010/01/02/1009/
The text/simple format you chose is designed to support simple tagging / entity extraction use cases and leaves much of the richness extracted behind....
http://faganm.com/blog/2010/01/02/1009/
but you absolutely should include Zemanta in any entity extraction test case....
http://faganm.com/blog/2010/01/02/1009/
I fully realize the semantic difference between term/phrase and entity extraction, but for my purposes the latter is closer but both may work out....
http://faganm.com/blog/2010/01/02/1009/
There you use wikipedia articles to support entity extraction....

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entity_extraction(9)