35 search results - page 2 / 7 » Transfer Learning, Feature Selection and Word Sense Disambig... |
NLP
2000
13 years 8 months ago
2000
In this article we compare the performance of various machine learning algorithms on the task of constructing word-sense disambiguation rules from data. The distinguishing characte...
CORR
2004
Springer
13 years 4 months ago
2004
Springer
This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample (ELS) task in Senseval-3. The NRC system ...
CICLING
2009
Springer
14 years 5 months ago
2009
Springer
We propose a supervised word sense disambiguation (WSD) system that uses features obtained from clustering results of word instances. Our approach is novel in that we employ semi-s...
ACL
2010
13 years 3 months ago
2010
Word sense disambiguation (WSD) systems based on supervised learning achieved the best performance in SensEval and SemEval workshops. However, there are few publicly available ope...
ECML
2003
Springer
13 years 10 months ago
2003
Springer
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...