Language & NLP
Entity extraction
Also called: named entity recognition · slot filling
Entity extraction (or slot filling) is pulling the specific pieces of information out of a caller's speech — a date, a name, an order number, an amount — that the agent needs to complete the task, like booking a slot for 'next Tuesday at 3'.
It works alongside intent recognition: intent tells you *what* the caller wants; entities tell you the *specifics*. Together they turn a sentence into a structured action.
Related terms
Intent recognitionIdentifying the goal behind what a caller says — e.g. 'book appointment', 'check balance', 'cancel' — so the agent can act on it.Natural language understandingThe part of AI that works out what a person means — their intent and the key details — from natural language, not just the literal words.Dialogue managementKeeping track of context across a multi-turn conversation — what's been said, what's still needed — so the agent stays coherent.
See Entity extraction in a real call.
Book a 30-minute demo and watch Finn handle inbound and outbound calls end to end — no stack to assemble.
Try Finn for free