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AAAI
2006
13 years 6 months ago
Kernel Methods for Word Sense Disambiguation and Acronym Expansion
The scarcity of manually labeled data for supervised machine learning methods presents a significant limitation on their ability to acquire knowledge. The use of kernels in Suppor...
Mahesh Joshi, Ted Pedersen, Richard Maclin, Sergue...
ENGL
2006
157views more  ENGL 2006»
13 years 4 months ago
Dealing with Acronyms in Biomedical Texts
Recently, there has been a growth in the amount of machine readable information pertaining to the biomedical field. With this growth comes a desire to be able to extract informati...
David B. Bracewell, Fuji Ren, Shingo Kuroiwa
IJSI
2008
129views more  IJSI 2008»
13 years 4 months ago
Managing the Acronym/Expansion Identification Process for Text-Mining Applications
This paper deals with an acronym/definition extraction approach from textual data (corpora) and the disambiguation of these definitions (or expansions). Both steps of our global pr...
Mathieu Roche, Violaine Prince
ACL
2004
13 years 6 months ago
A Kernel PCA Method for Superior Word Sense Disambiguation
We introduce a new method for disambiguating word senses that exploits a nonlinear Kernel Principal Component Analysis (KPCA) technique to achieve accuracy superior to the best pu...
Dekai Wu, Weifeng Su, Marine Carpuat
NLDB
2005
Springer
13 years 10 months ago
The Role of Word Sense Disambiguation in Automated Text Categorization
Abstract. Automated Text Categorization has reached the levels of accuracy of human experts. Provided that enough training data is available, it is possible to learn accurate autom...
José María Gómez Hidalgo, Man...