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 language | English (US) |
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Title of host publication | Proceedings - Nineteenth National Conference on Artificial Intelligence (AAAI-04) |
Subtitle of host publication | Sixteenth Innovative Applications of Artificial Intelligence Conference (IAAI-2004) |
Pages | 1030-1031 |
Number of pages | 2 |
State | Published - Dec 9 2004 |
Event | Proceedings - 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 2004 → Jul 29 2004 |
Other
Other | Proceedings - Nineteenth National Conference on Artificial Intelligence (AAAI-2004): Sixteenth Innovative Applications of Artificial Intelligence Conference (IAAI-2004) |
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Country/Territory | United States |
City | San Jose, CA |
Period | 7/25/04 → 7/29/04 |