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Content Modeling Using Latent Permutations
We present a novel Bayesian topic model for learning discourse-level document structure.
Learning Document-Level Semantic Properties from Free-Text Annotations
The paraphrase structure is linked with a latent topic model of the review texts, enabling the system to predict the properties of unannotated documents and to effectively aggregate the semantic properties of multiple reviews.
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