ML Anthology

SenseClusters - Finding Clusters That Represent Word Senses

Amruta Purandare, Ted Pedersen
AAAI 2004 pp. 1030-1031
/aaai/2004/purandare2004aaai-senseclusters/

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.

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Cite

Text

Purandare and Pedersen. "SenseClusters - Finding Clusters That Represent Word Senses." AAAI Conference on Artificial Intelligence, 2004.

Markdown

[Purandare and Pedersen. "SenseClusters - Finding Clusters That Represent Word Senses." AAAI Conference on Artificial Intelligence, 2004.](https://mlanthology.org/aaai/2004/purandare2004aaai-senseclusters/)

BibTeX

@inproceedings{purandare2004aaai-senseclusters,
  title     = {{SenseClusters - Finding Clusters That Represent Word Senses}},
  author    = {Purandare, Amruta and Pedersen, Ted},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2004},
  pages     = {1030-1031},
  url       = {https://mlanthology.org/aaai/2004/purandare2004aaai-senseclusters/}
}