Text Summarization (also known as summarization, and automatic summarization) is a natural language processing problem which focuses on creating shortened versions of texts with computer algorithms/software that retain the important points of the original piece of text.
Common approaches to text summarization can typically be classified into one of the following categories:
- Extraction, extracts most important information (sentences or paragraphs) from original text and copies them to make summary
- Abstraction, paraphrases sections in the original text and relies on language generation to make the summaries coherent
References / Links
- A bit outdated website with some references related to text summarization - 
- Wikipedia article on automatic summarization -