Extractive Document Summarization

Extractive Text Summarization is a subtask in the field of natural language processing that aims to select the most representative words or sentences from a document to generate a concise and clear summary. This task achieves effective condensation of the original text content by identifying and extracting key information, thereby enhancing the efficiency of information retrieval and reading experience. It is widely applied in scenarios such as news summarization, literature reviews, and report generation.