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arXiv · 1612.09122

Modeling documents with Generative Adversarial Networks

John Glover
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Abstract

This paper describes a method for using Generative Adversarial Networks to learn distributed representations of natural language documents. We propose a model that is based on the recently proposed Energy-Based GAN, but instead uses a Denoising Autoencoder as the discriminator network. Document representations are extracted from the hidden layer of the discriminator and evaluated both quantitatively and qualitatively.

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John Glover. 2016-12-29. Modeling documents with Generative Adversarial Networks. https://arxiv.org/abs/1612.09122

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