few-shot intent classification and slot filling with retrieved examples

Intent Detection and Slot Filling are two pillar tasks in Spoken Natural Language Understanding Common approaches adopt joint Deep Learning architectures

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

slot conan For making the slot fill- ing algorithm more robust against the incompleteness of annotation, this paper leverages an overlooked property of slot filling

slot wedges Slot Filling via Latent Question Representation and Reading Slot Filling via Latent Question Representation and Reading Comprehension 1 Introduction