SenseClusters - Finding Clusters that Represent Word Senses

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.

• Type: Conference
• Year: 2004
• Where: AAAI
• Authors: Amruta Purandare, Ted Pedersen
• Keywords: AAAI 2004, Intelligent Agents, Raw Unstructured Corpus, Unsupervised Clustering Approach, Word Sense Discrimination