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» SenseClusters - Finding Clusters that Represent Word Senses
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EMNLP
2007
13 years 6 months ago
Learning to Merge Word Senses
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 ...
Rion Snow, Sushant Prakash, Daniel Jurafsky, Andre...
FSKD
2009
Springer
143views Fuzzy Logic» more  FSKD 2009»
13 years 2 months ago
Spectral Clustering for Chinese Word
Sense Induction is the process of identifying the word sense given its context, often treated as a clustering task. This paper explores the use of spectral cluster method which in...
Ying Liu, Wang Nan, Tie Zheng
ACL
2008
13 years 6 months ago
An Unsupervised Vector Approach to Biomedical Term Disambiguation: Integrating UMLS and Medline
This paper introduces an unsupervised vector approach to disambiguate words in biomedical text that can be applied to all-word disambiguation. We explore using contextual informat...
Bridget McInnes
LREC
2008
124views Education» more  LREC 2008»
13 years 6 months ago
Translation-oriented Word Sense Induction Based on Parallel Corpora
Word Sense Disambiguation (WSD) is an intermediate task that serves as a means to an end defined by the application in which it is to be used. However, different applications have...
Marianna Apidianaki
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