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ACL
1997
14 years 11 months ago
Combining Unsupervised Lexical Knowledge Methods for Word Sense Disambiguation
This paper presents a method to combine a set of unsupervised algorithms that can accurately disambiguate word senses in a large, completely untagged corpus. Although most of the ...
German Rigau, Jordi Atserias, Eneko Agirre
LREC
2008
101views Education» more  LREC 2008»
14 years 11 months ago
Using the Multilingual Central Repository for Graph-Based Word Sense Disambiguation
This paper presents the results of a graph-based method for performing knowledge-based Word Sense Disambiguation (WSD). The technique exploits the structural properties of the gra...
Eneko Agirre, Aitor Soroa
CICLING
2003
Springer
15 years 2 months ago
An Evaluation of a Lexicographer's Workbench Incorporating Word Sense Disambiguation
NLPsystem developers and corpus lexicographers would both bene t from a tool for nding and organizing the distinctive patterns of use of words in texts. Such a tool would be an ass...
Adam Kilgarriff, Rob Koeling
BMCBI
2006
151views more  BMCBI 2006»
14 years 9 months ago
Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
Hua Xu, Marianthi Markatou, Rositsa Dimova, Hongfa...
LREC
2010
164views Education» more  LREC 2010»
14 years 11 months ago
Study of Word Sense Disambiguation System that uses Contextual Features - Approach of Combining Associative Concept Dictionary a
We propose a Word Sense Disambiguation (WSD) method that accurately classifies ambiguous words to concepts in the Associative Concept Dictionary (ACD) even when the test corpus an...
Kyota Tsutsumida, Jun Okamoto, Shun Ishizaki, Mako...