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Home/ Questions/Q 265

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Peter
PeterBegginer
Asked: mars 24, 20252025-03-24T11:25:09+01:00 2025-03-24T11:25:09+01:00In: AI & Natural Language Processing (NLP)

What’s the best approach to extract multiple entities from a user message using NLP?

I’m working on a chatbot that needs to recognize multiple values (e.g., destination, date, and number of travelers) in a single user sentence like:
« I want to book a flight to Paris next Friday for three people. »
Should I use a rule-based parser, a pre-trained model like spaCy, or go with a transformer-based approach?
How do I handle ambiguity or missing entities efficiently?

entity-recognitionnlpspacytext-classificationtransformers
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