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» An Empirical Study on Class-Based Word Sense Disambiguation
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EMNLP
2009
13 years 3 months ago
Graded Word Sense Assignment
Word sense disambiguation is typically phrased as the task of labeling a word in context with the best-fitting sense from a sense inventory such as WordNet. While questions have o...
Katrin Erk, Diana McCarthy
NLP
2000
13 years 9 months ago
Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers
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...
Georgios Paliouras, Vangelis Karkaletsis, Ion Andr...
LREC
2010
164views Education» more  LREC 2010»
13 years 6 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...
CICLING
2010
Springer
14 years 8 days ago
An Experimental Study on Unsupervised Graph-based Word Sense Disambiguation
Recent research works on unsupervised word sense disambiguation report an increase in performance, which reduces their handicap from the respective supervised approaches for the sa...
George Tsatsaronis, Iraklis Varlamis, Kjetil N&osl...
PAMI
2010
133views more  PAMI 2010»
13 years 3 months ago
An Experimental Study of Graph Connectivity for Unsupervised Word Sense Disambiguation
— Word sense disambiguation (WSD), the task of identifying the intended meanings (senses) of words in context, has been a long-standing research objective for natural language pr...
Roberto Navigli, Mirella Lapata