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Learning Similarity based Word Sense Disambiguation from Sparse Data

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Figure

Figure 1: Iterative computation of word and sentence similarities.
Table 1: A summary of the experimental results on four polysemous words.
Table 2: The drug experiment; the nearest neighbors of the highest-weight words. The words in the entries are those with the highest weights, whose similarity values have, therefore, the greatest effect
Figure 2: The drug number is plotted separately for each sense. The asterisk marks the plot of the success rate for the experiment; the change in the disambiguation performance with iteration narcotic sense
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