119 search results - page 2 / 24 » Discovering word senses from text |
COLING
2002
13 years 5 months ago
2002
Broad-coverage lexical resources such as WordNet are extremely useful. However, they often include many rare senses while missing domain-specific senses. We present a clustering a...
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
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...
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...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...