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Presents comparative evaluations of graph ...
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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