An Analysis of Lemmatization on Topic Models of Morphologically Rich Language

13 Aug 2016Chandler MayRyan CotterellBenjamin Van Durme

Topic models are typically represented by top-$m$ word lists for human interpretation. The corpus is often pre-processed with lemmatization (or stemming) so that those representations are not undermined by a proliferation of words with similar meanings, but there is little public work on the effects of that pre-processing... (read more)

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