Style Example-Guided Text Generation using Generative Adversarial Transformers

Understand

We introduce a language generative model framework for generating a styled paragraph based on a context sentence and a style reference example.

• The framework consists of a style encoder and a texts decoder.
• The style encoder extracts a style code from the reference example, and the text decoder generates texts based on the style code and the context.
• We propose a novel objective function to train our framework.