SenseClusters - Finding clusters that represent word senses

Amruta Purandare, Ted Pedersen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

SenseClusters is a freely available word sense discrimination system that takes a purely unsupervised clustering approach. It uses no knowledge other than what is available in a raw unstructured corpus, and clusters instances of a given target word based only on their mutual contextual similarities. It is a complete system that provides support for feature selection from large corpora, several different context representation schemes, various clustering algorithms, and evaluation of the discovered clusters.

Original languageEnglish (US)
Title of host publicationProceedings - Nineteenth National Conference on Artificial Intelligence (AAAI-04)
Subtitle of host publicationSixteenth Innovative Applications of Artificial Intelligence Conference (IAAI-2004)
Pages1030-1031
Number of pages2
StatePublished - Dec 9 2004
EventProceedings - Nineteenth National Conference on Artificial Intelligence (AAAI-2004): Sixteenth Innovative Applications of Artificial Intelligence Conference (IAAI-2004) - San Jose, CA, United States
Duration: Jul 25 2004Jul 29 2004

Other

OtherProceedings - Nineteenth National Conference on Artificial Intelligence (AAAI-2004): Sixteenth Innovative Applications of Artificial Intelligence Conference (IAAI-2004)
CountryUnited States
CitySan Jose, CA
Period7/25/047/29/04

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