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...
| Päätekijät: | , |
|---|---|
| Aineistotyyppi: | Conference item |
| Julkaistu: |
Association for Computational Linguistics
2016
|