Text summarization
From Cohen Courses
Summary
Text Summarization (also known as summarization, and automatic summarization) is a natural language processing task 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
Some common approaches to text summarization include the following:
- 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
Challenges / Issues
Some major challenges in text summarization
