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Technical GlossaryNatural Language Processing

Extractive Question Answering

A question answering approach that selects the answer as a span from a provided passage.

Extractive question answering is a strong approach when factual accuracy and grounding matter. Instead of generating an answer freely, the model identifies it within a given document or passage. This can reduce hallucination risk and make answers easier to justify. It is widely used in document-based assistants and enterprise knowledge systems.