Modeling topic dependencies in semantically coherent text spans with copulas

COLING 2016 Georgios BalikasHesam AmoualianMarianne ClauselEric GaussierMassih R. Amini

The exchangeability assumption in topic models like Latent Dirichlet Allocation (LDA) often results in inferring inconsistent topics for the words of text spans like noun-phrases, which are usually expected to be topically coherent. We propose copulaLDA, that extends LDA by integrating part of the text structure to the model and relaxes the conditional independence assumption between the word-specific latent topics given the per-document topic distributions... (read more)

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