Process / pipeline

Information Extraction — Turning Text into Structured Records

Information extraction (IE) is a natural-language-processing task that converts unstructured text into structured information — such as events, relations, and attributes — so that facts buried in free-form documents become machine-readable records. The task was consolidated in early surveys by Cowie and Lehnert (1996) and later by Grishman (2012).

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Sources

  1. Cowie, J. & Lehnert, W. (1996). Information Extraction. Communications of the ACM. DOI: 10.1145/234173.234209
  2. Grishman, R. (2012). Information Extraction. In Handbook of Natural Language Processing. ISBN: 9781420085921

Related methods

Referenced by

ScholarGateInformation Extraction (Information Extraction (IE)). Retrieved 2026-06-04 from https://scholargate.app/en/text-mining/information-extraction