Extractive Summarization

Extractive Summarization is an important task in natural language processing that aims to extract key sentences or segments from the original document to generate a concise and clear summary. Its main goal is to retain the core information of the document while significantly reducing its length, thereby improving the efficiency of information acquisition. This technology has wide application value in areas such as news summarization, literature reviews, and intelligent recommendations, effectively assisting users in quickly understanding large amounts of text information.