Document Summarization

Document summarization is a task in the field of natural language processing aimed at compressing documents into shorter forms while retaining their key information. This task is primarily achieved through two methods: extractive and abstractive. The extractive method involves extracting sentences from the original text to form a summary, whereas the abstractive method can generate new words and phrases to encapsulate the content of the document. Document summarization helps improve information retrieval efficiency, optimize knowledge management, and support rapid reading and decision-making.