ACL Wiki - User contributions [en]

Named entity recognizers

2008-12-11T21:50:49Z

Ratinov2:

'''[[Software]] - Named entity recognizers'''


* [http://www.aueb.gr/users/ion/software/GREEK_NERC_v2.tar.gz Greek named entity recognizer (version 2)] - 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://balie.sourceforge.net/ Balie] Baseline implementation of named entity recognition.
*[http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=FLBJNE UIUC NER] Java-based UIUC 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://l2r.cs.uiuc.edu/~cogcomp/LbjNer.php LBJ-NER-Demo]
* [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=NE Older version of UIUC 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://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.

[[Category:Software]]

Named entity recognizers

2008-12-11T21:49:19Z

Ratinov2:

'''[[Software]] - Named entity recognizers'''


* [http://www.aueb.gr/users/ion/software/GREEK_NERC_v2.tar.gz Greek named entity recognizer (version 2)] - 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://balie.sourceforge.net/ Balie] Baseline implementation of named entity recognition.
*[http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=FLBJNE UIUC NER] Java-based UIUC 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://l2r.cs.uiuc.edu/~cogcomp/LbjNer.php LBJ-NER-Demo]
* [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey= Older version of UIUC 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://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.

[[Category:Software]]

Named entity recognizers

2008-12-11T21:47:58Z

Ratinov2:

'''[[Software]] - Named entity recognizers'''


* [http://www.aueb.gr/users/ion/software/GREEK_NERC_v2.tar.gz Greek named entity recognizer (version 2)] - 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://balie.sourceforge.net/ Balie] Baseline implementation of named entity recognition.
*[http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=FLBJNE UIUC NER] Java-based UIUC 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 and is robust on other datasets. Try the [http://l2r.cs.uiuc.edu/~cogcomp/LbjNer.php LBJ-NER-Demo]
* [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey= Older version of UIUC 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://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.

[[Category:Software]]

Named entity recognizers

2008-12-10T07:55:58Z

Ratinov2:

'''[[Software]] - Named entity recognizers'''


* [http://www.aueb.gr/users/ion/software/GREEK_NERC_v2.tar.gz Greek named entity recognizer (version 2)] - 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://balie.sourceforge.net/ Balie] Baseline implementation of named entity recognition.
*[http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=FLBJNE_ADV UIUC NER] Java-based UIUC 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 and is robust on other datasets. Try the [http://l2r.cs.uiuc.edu/~cogcomp/LbjNer.php LBJ-NER-Demo]
* [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey= Older version of UIUC 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://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.

[[Category:Software]]

Named entity recognizers

2008-12-10T07:53:41Z

Ratinov2:

'''[[Software]] - Named entity recognizers'''


* [http://www.aueb.gr/users/ion/software/GREEK_NERC_v2.tar.gz Greek named entity recognizer (version 2)] - 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://balie.sourceforge.net/ Balie] Baseline implementation of named entity recognition.
*[http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=FLBJNE_ADV UIUC NER] - Java API to the UIUC 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 and is robust on other datasets. Try the [http://l2r.cs.uiuc.edu/~cogcomp/LbjNer.php LBJ-NER-Demo]
* [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey= Older version of UIUC 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://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.

[[Category:Software]]

Named entity recognizers

2008-12-10T07:52:31Z

Ratinov2:

'''[[Software]] - Named entity recognizers'''


* [http://www.aueb.gr/users/ion/software/GREEK_NERC_v2.tar.gz Greek named entity recognizer (version 2)] - 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://balie.sourceforge.net/ Balie] Baseline implementation of named entity recognition.
*[http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=FLBJNE_ADV UIUC NER] - Java API to the UIUC 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 CoNLL03 shared task and is robust on other datasets. ; try the [http://l2r.cs.uiuc.edu/~cogcomp/LbjNer.php LBJ-NER-Demo]
* [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey= Older version of UIUC 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://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.

[[Category:Software]]

Named entity recognizers

2008-12-10T07:27:08Z

Ratinov2:

'''[[Software]] - Named entity recognizers'''


* [http://www.aueb.gr/users/ion/software/GREEK_NERC_v2.tar.gz Greek named entity recognizer (version 2)] - 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://balie.sourceforge.net/ Balie] Baseline implementation of named entity recognition.
* [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=NE English named entity recognizer] - 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=FLBJNE_ADV UIUC NER] - Java API to the UIUC 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 CoNLL03 shared task and is robust on other datasets.
*[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.

[[Category:Software]]

Named entity recognizers

2008-12-10T07:26:24Z

Ratinov2:

'''[[Software]] - Named entity recognizers'''


* [http://www.aueb.gr/users/ion/software/GREEK_NERC_v2.tar.gz Greek named entity recognizer (version 2)] - 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://balie.sourceforge.net/ Balie] Baseline implementation of named entity recognition.
* [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=NE English named entity recognizer] - 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=FLBJNE_ADV] - Java API to the UIUC 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 CoNLL03 shared task and is robust on other datasets.
*[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.

[[Category:Software]]