Document Level Event Extraction

Document-level Event Extraction is an important task in natural language processing, aiming to identify and extract events and their related information from entire documents. Unlike sentence-level event extraction, this task focuses on the contextual associations within the document scope to gain a more comprehensive understanding of the background, participants, and timing of events. By capturing the complex relationships within a document, Document-level Event Extraction can provide more accurate and richer event information, which is widely applied in public opinion analysis, knowledge graph construction, and intelligent question answering, among other fields, making it highly valuable.