A public-health clinic paste-bin of signup lines is free text, and the booking form needs name, date, and site fields. Which task fills those structured slots?
Select an answer to reveal the explanation.
Short Explanation
Free-text signup lines need name, date, and site in the booking form. That is NER, token classification that writes PERSON, DATE, and LOCATION spans the app can store. Author guesses, NCCL broadcasts, and a chatbot sentence with no offsets do not fill those slots.
Full Explanation
NER is span extraction: a token-classification model finds PERSON, DATE, and LOCATION mentions the booking form can store. That is not author attribution, and it is not a free chatbot sentence with no offsets. NCCL broadcast does not parse fields. Use the spans as structured records, not as a chat reply.