Joint Multiple Intent Detection and Slot Filling Via Self-Distillation
Joint Multiple Intent Detection and Slot Filling Via Self-Distillation
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
An ex- ample of slot filling in the MRC framework is illustrated in Figure 1 We transform each slot type we need to fill into a question, and then fill the
slot game development company Slot filling is a concept that allows customers to capture end-user input and store it in a conversation variable to accommodate use cases
slots city бездепозитный бонус The goal of Slot Filling is to identify from a running dialog different slots, which correspond to different parameters of the user's query
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