72 search results - page 1 / 15 » Semi-supervised Word Sense Disambiguation Using the Web as C... |
NAACL
2007
13 years 5 months ago
2007
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
CICLING
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. As any other classification task, Word Sense Disambiguation requires a large number of training examples. These examples, which are easily obtained for most of the tasks,...
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 ...
IJCNLP
2004
Springer
13 years 9 months ago
2004
Springer
This paper proposes a robust method for word sense disambiguation of Japanese. We combined several classifiers using heterogeneous language resources, a machine readable dictiona...
ACL
2001
13 years 5 months ago
2001
In this paper we investigate whether the task of disambiguating pseudowords (artificial ambiguous words) is comparable to the disambiguation of real ambiguous words. Since the two...