Difference between revisions of "Named entity recognizers"
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| − | '''[[Software]] - Named entity recognizers''' | + | '''[[Tools and Software for English]] - Named entity recognizers''' |
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| + | <!-- PLEASE KEEP THIS LIST IN ALPHABETICAL ORDER --> | ||
*[http://balie.sourceforge.net/ Balie] Baseline implementation of named entity recognition. | *[http://balie.sourceforge.net/ Balie] Baseline implementation of named entity recognition. | ||
*[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. | ||
* [http://www.aueb.gr/users/ion/software/GREEK_NERC_v2.tar.gz Greek named entity recognizer (version 2)] It currently identifies temporal expressions, person names, and organization names; see [http://www.aueb.gr/users/ion/publications.html here] for publications describing the recognizer. | * [http://www.aueb.gr/users/ion/software/GREEK_NERC_v2.tar.gz Greek named entity recognizer (version 2)] It currently identifies temporal expressions, person names, and organization names; see [http://www.aueb.gr/users/ion/publications.html here] for publications describing the recognizer. | ||
| + | *[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] | ||
*[http://nlp.stanford.edu/software/CRF-NER.shtml Stanford NER] Conditional Random Fields based NER. Also incorporates distributional similarity based features extracted from the English Gigaword corpus. | *[http://nlp.stanford.edu/software/CRF-NER.shtml Stanford NER] Conditional Random Fields based NER. Also incorporates distributional similarity based features extracted from the English Gigaword corpus. | ||
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* [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=NE 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 [http://l2r.cs.uiuc.edu/~cogcomp/ne_demo.php demo] | * [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=NE 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 [http://l2r.cs.uiuc.edu/~cogcomp/ne_demo.php demo] | ||
[[Category:Software]] | [[Category:Software]] | ||
* [http://www.wikimeta.org 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. | * [http://www.wikimeta.org 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. | ||
| + | <!-- PLEASE KEEP THIS LIST IN ALPHABETICAL ORDER --> | ||
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| + | [[Category:Software]] | ||
| + | [[Category:Resources for English]] | ||
Revision as of 14:34, 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.
- Greek named entity recognizer (version 2) It currently identifies temporal expressions, person names, and organization names; see here for publications describing the recognizer.
- 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.