Suppose i have trained my classifier and i want to find the right sense of a word in a sentence. One feature people use is called collocation where you consider words to the left/right of the confusing word and position is important . I am curious why this approach works? What information does considering collocations give us that helps us in text classification? Moreover, why is the position important
Collocations in text classification
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Check some details on why word sense disambiguation using collocation works here: http://en.wikipedia.org/wiki/Yarowsky_algorithm It's basically a Bayesian network.