Information Extraction

Information extraction is a subtask of natural language processing aimed at automatically extracting structured information from unstructured and semi-structured machine-readable documents and electronic sources. The goal of this task is to identify and capture key entities, relationships, and events within the documents and convert them into a format that is easy for computers to process. Information extraction has significant application value in data mining, knowledge graph construction, intelligent search, and other fields, effectively enhancing the efficiency of information utilization and decision support capabilities.