Information extraction is a computational process and research field dedicated to automatically identifying and extracting structured information, such as named entities, relationships, and events, from unstructured or semi-structured text. It involves transforming raw textual data into a structured format suitable for storage, querying, and subsequent computational analysis or knowledge base construction, thereby enabling automated understanding and utilization of large text corpora.