Difference between revisions of "Named entity recognizers"

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'''[[Tools and Software for English]] - Named entity recognizers'''
 
'''[[Tools and Software for English]] - Named entity recognizers'''
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For languages other than English, see [[List of resources by language]].
  
 
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Revision as of 11:25, 7 September 2012

Tools and Software for English - Named entity recognizers

For languages other than English, see List of resources by language.

  • Balie Baseline implementation of named entity recognition.
  • GATE includes the ANNIE gazeteer-based NER subsystem.
  • GENiA- part-of-speech tagging, shallow parsing, and named entity recognition for biomedical text. C++, BSD license.
  • Illinois NER Java-based Illinois NER tagger. Uses gazetteers extracted from Wikipedia, word-class model built from unlabeled text and extensively uses non-local features. Achieves 90.8F1 score on the CoNLL03 shared task data and is robust on other datasets. Try the Illinois-NER-Demo
  • LingPipe
  • Stanford NER Conditional Random Fields based NER. Also incorporates distributional similarity based features extracted from the English Gigaword corpus.
  • Older version of Illinois NER - identifies/classifies entities as Person, Location, Organization and Misc (this last category relates to languages and nationalities); fast and robust; try the demo
  • Wikimeta is an API service based on various methods (rules, CRF) for named entity extraction and linking to the semantic web. It works trough on-line web form and also provide Part of Speech tagging.