PU-BCD: Exponential Family Models for the Coarse- and Fine-Grained All-Words Tasks
نویسندگان
چکیده
This paper describes an exponential family model of word sense which captures both occurrences and co-occurrences of words and senses in a joint probability distribution. This statistical framework lends itself to the task of word sense disambiguation. We evaluate the performance of the model in its participation on the SemEval-2007 coarseand fine-grained all-words tasks under a variety of parameters.
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