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» Similarity-Based Methods for Word Sense Disambiguation
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ACL
2004
13 years 8 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
LREC
2010
129views Education» more  LREC 2010»
13 years 8 months ago
Evaluating the Impact of Some Linguistic Information on the Performances of a Similarity-based and Translation-oriented Word-Sen
In this article, we present an experiment of linguistic parameter tuning in the representation of the semantic space of polysemous words. We evaluate quantitatively the influence ...
Myriam Rakho, Matthieu Constant
COLING
2002
13 years 7 months ago
Word Sense Disambiguation using Static and Dynamic Sense Vectors
It is popular in WSD to use contextual information in training sense tagged data. Co-occurring words within a limited window-sized context support one sense among the semantically...
Jong-Hoon Oh, Key-Sun Choi
TAL
2010
Springer
13 years 5 months ago
Robust Semi-supervised and Ensemble-Based Methods in Word Sense Disambiguation
Mihalcea [1] discusses self-training and co-training in the context of word sense disambiguation and shows that parameter optimization on individual words was important to obtain g...
Anders Søgaard, Anders Johannsen
ACL
2001
13 years 8 months ago
Statistical Corpus-Based Word Sense Disambiguation: Pseudowords vs. Real Ambiguous Words
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...
Tanja Gaustad