Báo cáo khoa học: " New Models for Improving Supertag Disambiguation"
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In previous work, supertag disambiguation has been presented as a robust, partial parsing technique. In this paper we present two approaches: contextual models, which exploit a variety of features in order to improve supertag performance, and class-based models, which assign sets of supertags to words in order to substantially improve accuracy with only a slight increase in ambiguity.
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