ConceptEvent Extraction / EE
Event Extraction
A classic natural language processing task that identifies trigger words or sentences for specific event types in unstructured text and extracts associated argument information such as participants, time, location, and outcome. It is a core subtask of information extraction.
Timeline (last 90 days)
Oct 16
Information Extraction is a classic task in natural language processing, whose goal is to identify entities, attributes, and relations from unstructured text and convert them into structured fields; traditional approaches rely on rule templates or sequence labeling models, while extraction based on large models typically uses prompting plus structured output.
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