In this chapter, we will describe methods for generating and summarizing text using deep learning techniques. Text generation is the process of automatically generating text, based on context and scope, by using an input source text. Some applications involving text generation include automatic weather report generation, medical report generation, and translating a given representation of input text into multiple languages. Text summarization is a related technique, in which a summary is generated from a source text. Some example tasks include generating news, product reviews, and business report summaries.

In this chapter, the main focus will be on providing the reader with approaches to text generation and summarization using recurrent neural networks (RNNs). The following topics will be covered in this chapter:

• Generating text using RNNs
• Summarizing text using RNNs
• A summary of state-of-the-art approaches to text generation and summarization