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method ID: variationalinference

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We present a nonparametric Bayesian model of tree structures based on the hierarchical Dirichlet process (HDP). Our HDP-PCFG model allows the complexity of the grammar to grow as more training …...

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Supervised topic models with a logistic likelihood have two issues that potential- ly limit their practical use: 1) response variables are usually over-weighted by document word counts; and 2) existing …...

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Word embedding maps words into a low- dimensional continuous embedding space by exploiting the local word collocation patterns in a small context window. On the other hand, topic modeling maps …...

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A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation

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