Mark McLauchlan

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Probabilistic models have been effective in resolving prepositional phrase attachment ambiguity , but sparse data remains a significant problem. We propose a solution based on similarity-based smoothing, where the probability of new PPs is estimated with information from similar examples generated using a thesaurus. Three thesauruses are compared on this(More)
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