Process / pipeline

Event Detection — Event Extraction

Event detection is a natural-language-processing information-extraction task that finds events, historical developments, and action expressions in text and classifies them by type. It grew out of the Automatic Content Extraction (ACE) program described by Doddington et al. (2004) and is widely used in news analysis and historical research.

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Sources

  1. Doddington, G. et al. (2004). The Automatic Content Extraction (ACE) Program — Tasks, Data, and Evaluation. LREC. link
  2. Chen, Y. & Ng, V. (2012). Joint Modeling for Chinese Event Extraction with Rich Linguistic Features. COLING. link

Related methods

Referenced by

ScholarGateEvent Detection (Event Detection (Event Extraction)). Retrieved 2026-06-04 from https://scholargate.app/en/text-mining/event-detection