A Latent Variable Recurrent Neural Network for Discourse Relation Language Models

7 Mar 2016Yangfeng JiGholamreza HaffariJacob Eisenstein

This paper presents a novel latent variable recurrent neural network architecture for jointly modeling sequences of words and (possibly latent) discourse relations between adjacent sentences. A recurrent neural network generates individual words, thus reaping the benefits of discriminatively-trained vector representations... (read more)

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