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Research Review Notes

Summaries of academic research papers

Adversarial Generation of Natural Language


Idea

The paper tries to leverage the success of GANs in the computer vision domain to generate language. The authors attempt to address the discrete space problem without the usage of gradient estimators. They also intend to generate language based on context-free grammars and also from conditional generation using sentence attributes.

Background

Method

Observations