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» Knowledge Sources for Word Sense Disambiguation
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ACL
1998
13 years 7 months ago
Word Sense Disambiguation using Optimised Combinations of Knowledge Sources
Word sense disambiguation algorithms, with few exceptions, have made use of only one lexical knowledge source. We describe a system which t)erforms word sense disambiguation on al...
Yorick Wilks, Mark Stevenson
ACL
1996
13 years 7 months ago
Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar-Based Approach
In this paper, we present a new approach for word sense disambiguation (WSD) using an exemplar-based learning algorithm. This approach integrates a diverse set of knowledge source...
Hwee Tou Ng, Hian Beng Lee
TSD
2001
Springer
13 years 10 months ago
Knowledge Sources for Word Sense Disambiguation
Two kinds of systems have been defined during the long history of WSD: principled systems that define which knowledge types are useful for WSD, and robust systems that use the info...
Eneko Agirre, David Martínez
AAAI
2006
13 years 7 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...
ACL
1997
13 years 7 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