A Survey on Unsupervised Graph-based Word Sense Disambiguation
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This paper presents comparative evaluations of graph based ...
This paper presents comparative evaluations of graph based
word sense disambiguation techniques using several measures of word
semantic similarity and several ranking algorithms. Unsupervised word
sense disambiguation has received a lot of attention lately because of it's
fast execution time and it's ability to make the most of a small input
corpus. Recent state of the art graph based systems have tried to close
the gap between the supervised and the unsupervised approaches.
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