A Unified Framework for Multi-intent Spoken Language Understanding with prompting. (arXiv:2210.03337v1 [cs.CL])

Multi-intent Spoken Language Understanding has great potential for widespread
implementation. Jointly modeling Intent Detection and Slot Filling in it
provides a channel to exploit the correlation between intents and slots.
However, current approaches are apt to formulate these two sub-tasks
differently, which leads to two issues: 1) It hinders models from effective
extraction of shared features. 2) Pretty complicated structures are involved to
enhance expression ability while causing damage to the interpretability of
frameworks. In this work, we describe a …

arxiv framework language spoken language understanding understanding