26 search results - page 1 / 6 » Clustering Using Feature Domain Similarity to Discover Word ... |
SEMCO
2007
IEEE
13 years 11 months ago
2007
IEEE
This paper presents a new clustering algorithm called DSCBC which is designed to automatically discover word senses for polysemous words. DSCBC is an extension of CBC Clustering [...
AAAI
2004
13 years 6 months ago
2004
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 r...
EMNLP
2007
13 years 6 months ago
2007
It has been widely observed that different NLP applications require different sense granularities in order to best exploit word sense distinctions, and that for many applications ...
AAAI
2004
13 years 6 months ago
2004
Word sense discrimination is an unsupervised clustering problem, which seeks to discover which instances of a word/s are used in the same meaning. This is done strictly based on i...
IHI
2010
12 years 11 months ago
2010
Unsupervised word sense discrimination relies on the idea that words that occur in similar contexts will have similar meanings. These techniques cluster multiple contexts in which...