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- W2116353118 abstract "This work addresses the problem of classifying the genre of text, which is useful for a variety of language processing problems. We propose statistics of POS histograms as classification features, coupled with a quadratic discriminant classifier. In experiments on six different text and speech genres, we demonstrate enhanced performance compared to standard techniques using word frequency count features and POS trigram features. Experiments on genres that were not seen in training show intuitive overlaps with the training classes." @default.
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- W2116353118 date "2009-04-01" @default.
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- W2116353118 title "Part-of-speech histograms for genre classification of text" @default.
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- W2116353118 doi "https://doi.org/10.1109/icassp.2009.4960700" @default.
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