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» Word Sense Disambiguation using Conceptual Density
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NLDB
2010
Springer
14 years 7 months ago
Sense-Based Biomedical Indexing and Retrieval
This paper tackles the problem of term ambiguity, especially for biomedical literature. We propose and evaluate two methods of Word Sense Disambiguation (WSD) for biomedical terms ...
Ba-duy Dinh, Lynda Tamine
TASLP
2010
144views more  TASLP 2010»
14 years 4 months ago
Active Learning With Sampling by Uncertainty and Density for Data Annotations
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthe...
ACL
2006
14 years 11 months ago
Using WordNet to Automatically Deduce Relations between Words in Noun-Noun Compounds
We present an algorithm for automatically disambiguating noun-noun compounds by deducing the correct semantic relation between their constituent words. This algorithm uses a corpu...
Fintan J. Costello, Tony Veale, Simon Dunne
85
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ACL
2008
14 years 11 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
ACL
2004
14 years 11 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. ...