Disambiguating Levin Verbs Using Untagged Data


Lapata and Brew [8] (hereafter LB04) obtain from untagged texts a statistical prior model that is able to generate class preferences for ambiguous Levin [9] verbs. They also show that their informative priors, incorporated into a Naive Bayesian classifier deduced from handtagged data, can aid in verb class disambiguation. We re-examine the parameter… (More)


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