Since 2021, aggregated from related topics
Information extraction is a research area in natural language processing that focuses on automatically extracting structured information from unstructured text sources. This can involve identifying entities (such as people, organizations, and locations), extracting relationships between entities, and categorizing text according to predefined criteria. Information extraction techniques often involve techniques such as named entity recognition, relation extraction, and text classification. This research area has applications in various fields, including text mining, information retrieval, and knowledge management.