NLP & Language · intermediate · concept 133 of 311 · Updated Nov 4, 2026
Information Extraction
Turning free text into structured facts: the umbrella above named entity recognition that adds relation extraction, event extraction, and entity linking. LLMs with structured output turned this from a pipeline of brittle models into a prompt, and it is exactly how knowledge graphs get built from documents.
Top AI contributors on this
- Yoshua BengioLawZero / Université de Montréal
- Ilya SutskeverSafe Superintelligence Inc. (SSI)
- Noam ShazeerOpenAI
- Alec RadfordIndependent / Thinking Machines Lab (adviser)
- Jürgen SchmidhuberKAUST / IDSIA
- Oriol VinyalsDiscovery Loop
Key terms
Relation extractionEntity linkingEvent extractionStructured outputKnowledge graph construction
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Where you meet it in the real world
Building knowledge graphs, contract analysis, pharma literature mining, CRM auto-fill
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▶ LLMs and AI Agents: Transforming Unstructured Data ↗
IBM Technology · YouTube
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