Techniques & Methods
Information Extraction
Information extraction (IE) converts unstructured text into structured data by identifying entities, relationships, events, and facts. Key subtasks include named entity recognition, relation extraction, event extraction, and coreference resolution.
IE powers knowledge graph construction, business intelligence dashboards, competitive monitoring, and the structured data that underlies AI answer engines. Modern LLMs have dramatically lowered the cost of building IE pipelines by handling diverse input formats without task-specific rule authoring.
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Related Terms
Techniques & Methods
Named Entity Recognition (NER)
Identifying and classifying named entities in text into predefined categories like people and places.
Techniques & Methods
Entity Extraction
Identifying and classifying named entities—people, places, organizations—within text.
Techniques & Methods
Knowledge Representation
Methods AI systems use to model, store, and reason over knowledge about the world.
Core Concepts
Natural Language Processing (NLP)
Field focused on enabling computer-human interaction through natural language.