SenseClusters

Handle:	https://hdl.handle.net/21.11129/0000-000B-D342-C (persistent URL to this page)
URL:	http://www.d.umn.edu/~tpederse/senseclusters.html

SenseClusters is a package of (mostly) Perl programs that allows a user to cluster similar contexts together using unsupervised knowledge-lean methods.

Contact Resource Maintainer

Distribution Contact Person

Ted Pedersen Male

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Tool/Service

Tool

Language Dependent

Resource Creation

Resource Creator

Ted Pedersen Male

[javascript protected email address]

Anagha Kulkarni

[javascript protected email address]

Mahesh Joshi

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Amruta Purandare

[javascript protected email address]

Funding Project

National Science Foundation Faculty Early Career Development (CAREER) Program award (#0092784, 2001-2007)

Funding Type: National Funds

Metadata

Created: 01/04/2013

Last Updated: 12/07/2015

Metadata Creator

Amália Mendes

http://www.clul.ul.pt/en/researcher/146-amalia-mendes

Faculdade de Letras da Universidade de Lisboa

CLUL

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Alameda da Universidade

1600-214 Lisbon

Tel.: 00351217904961

Fax: 00351217965622

Centro de Linguística da Universidade de Lisboa

http://www.clul.ul.pt

CLUL

Av. Prof. Gama Pinto, 2

1649-003 Lisbon

[javascript protected email address]

Tel.: +351217920000

Fax: +351217965622

Version

Version: 1.01

Last Updated: 04/06/2008

Usage

Foreseen UseNlp Applications

Use NLP Specific: Text Categorisation, Word Sense Disambiguation

Documentation

Tool Documentation: Manual

Samples Location: http://www.d.umn.edu/~tpederse/senseclusters.html

Document Type: In Proceedings

Pedersen, Duluth-WSI: SenseClusters Applied to the Sense Induction Task of SemEval-2 , http://www.d.umn.edu/~tpederse/Pubs/pedersen-semeval2-2010.pdf , 5th International Workshop on Semantic Evaluations

Document Language: English

Document Type: Proceedings

Pedersen, The Effect of Different Context Representations on Word Sense Discrimination in Biomedical Texts , http://www.d.umn.edu/~tpederse/Pubs/acm-ihi-2010-pedersen.pdf , 1st ACM International Health Informatics Symposium , 2010

Keywords: Natural language processing, semantic ambiguity, word sense discrimination

Document Language: English

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