Difference between revisions of "Named entity recognizers"
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*[http://gate.ac.uk/ GATE] includes the ANNIE gazeteer-based NER subsystem. | *[http://gate.ac.uk/ GATE] includes the ANNIE gazeteer-based NER subsystem. | ||
*[http://www-tsujii.is.s.u-tokyo.ac.jp/GENIA/tagger/ GENiA]- part-of-speech tagging, shallow parsing, and named entity recognition for biomedical text. C++, BSD license. | *[http://www-tsujii.is.s.u-tokyo.ac.jp/GENIA/tagger/ GENiA]- part-of-speech tagging, shallow parsing, and named entity recognition for biomedical text. C++, BSD license. | ||
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*[http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=FLBJNE 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 [http://cogcomp.cs.illinois.edu/page/demo_view/NER Illinois-NER-Demo] | *[http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=FLBJNE 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 [http://cogcomp.cs.illinois.edu/page/demo_view/NER Illinois-NER-Demo] | ||
*[http://www.alias-i.com/lingpipe/ LingPipe] | *[http://www.alias-i.com/lingpipe/ LingPipe] | ||
Revision as of 14:37, 5 September 2012
Tools and Software for English - Named entity recognizers
- 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.