Timeline Summarization

Timeline Summarization is a subtask of Natural Language Processing that focuses on identifying key dates of significant events and providing brief descriptions of these dates. The goal of this task is to extract timeline information from large amounts of text data, construct a structured time-series summary, to assist users in quickly understanding the development process of events and important time points. Its application value lies in improving the efficiency of information retrieval and supporting in-depth analysis in fields such as historical research, news reporting, and business decision-making.