Sciweavers

119 search results - page 1 / 24
» Discovering word senses from text
Sort
View
KDD
2002
ACM
134views Data Mining» more  KDD 2002»
14 years 5 months ago
Discovering word senses from text
Categories and Subject Descriptors Information Storage and Retrieval Clustering General Terms Keywords
Patrick Pantel, Dekang Lin
ACL
2004
13 years 6 months ago
Finding Predominant Word Senses in Untagged Text
In word sense disambiguation (WSD), the heuristic of choosing the most common sense is extremely powerful because the distribution of the senses of a word is often skewed. The pro...
Diana McCarthy, Rob Koeling, Julie Weeds, John A. ...
ACL
1998
13 years 6 months ago
A Concept-based Adaptive Approach to Word Sense Disambiguation
Word sense disambiguation for unrestricted text is one of the most difficult tasks in the fields of computational linguistics. The crux of the problem is to discover a model that ...
Jen Nan Chen, Jason S. Chang
IHI
2010
144views Healthcare» more  IHI 2010»
12 years 11 months ago
The effect of different context representations on word sense discrimination in biomedical texts
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...
Ted Pedersen
NIPS
2008
13 years 6 months ago
Unsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
Kate Saenko, Trevor Darrell