Slot Filling -

Dedicated prompt designs and fine-tuning approaches are proposed to improve the robustness of LLMs for slot filling with noisy ASR

Slot Filling - filling significantly complicates the task of detecting filled with sentence elements which are syntactically 208 I Boguslavsky Valency Slot Filling

Dedicated prompt designs and fine-tuning approaches are proposed to improve the robustness of LLMs for slot filling with noisy ASR

slot tas 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

On the other hand, slot filling is modeled as a sequence labelling problem, whose purpose is to take the utterance and determine which words

slot momo Slot Filling is the task of extracting the semantic concept from a given natural language utterance Recently it has been shown that using contextual

Slot filling and intent prediction are basic tasks in capturing semantic frame of human utterances Slots and intent have strong correlation