Zhang, H., Song, H., Li, S., Zhou, M., & Song, D. (2022). A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models. ArXiv, abs/2201.05337.

University of California, Berkeley

A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models

A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Mode

An area within Natural Language Generation, Controllable Text Generation is integral in developing text generation technologies that are more natural and customizable in practical applications. CTG is the task of generating text given a controlled element. 

Controllable Text Generation (CTG) 


The complement of Natural Language Understanding (NLU) which aims to produce a normalized representation of the idea expressed in input text (read/understand human language), NLG aims to transform potential representations into specific, self-consistent text, i.e. write in natural language. 

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