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Modeling Perspective Using Adaptor Grammars

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Figure

Table 1: A na¨ıve Bayes-inspired model expressed as aPCFG.
Figure 1: A plate diagram for na¨ıve Bayes and adaptive na¨ıve Bayes. Nodes represent random variables and parameters;shaded nodes represent observations; lines represent probabilistic dependencies; and the rectangular plates denotereplication.
Figure 3: Corpus preparation and experimental setup.
Table 4: Classification results. ANB* indicates the samegrammar as Adapted Na¨ıve Bayes, but with adaptation dis-abled
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