A Survey of Joint Intent Detection and Slot Filling Models in Natural

A Survey of Joint Intent Detection and Slot Filling Models in Natural slot filling Slot filling is used to allocate appropriate semantic tags to each input word by extracting the semantic concept For instance, for the sentence “I want the slot machines with the highest percentage of payout Association for Computational Linguistics, 5259 – 5267 We will use IOB notation for sequence labeling for slot-filling tasks, where B Nov 10,

slot machines with the highest percentage of payout We adopt a fine-tuning approach where a pre-trained LLM is fine-tuned into a slot-filling model using task specific data The fine-tuning data is prepared

slot canyon near moab Slot filling is an essential and challenging task in Spoken Lan- guage Understanding The task is usually interpreted as a sequence tagging process, Intent Detection and Slot Filling is the task of interpreting user commandsqueries by extracting the intent and the relevant slots Example :