Language as a latent variable: Discrete generative models for sentence compression
In this work we explore deep generative models of text in which the latent representation of a document is itself drawn from a discrete language model distribution. We formulate a variational auto-encoder for inference in this model and apply it to the task of compressing sentences. In this applicat...
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Association for Computational Linguistics
2016
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