A BiRGAT Model for Multi-intent Spoken Language Understanding with Hierarchical Semantic Frames

arXiv:2402.18258v1 Announce Type: new
Abstract: Previous work on spoken language understanding (SLU) mainly focuses on single-intent settings, where each input utterance merely contains one user intent. This configuration significantly limits the surface form of user utterances and the capacity of output semantics. In this work, we first propose a Multi-Intent dataset which is collected from a realistic in-Vehicle dialogue System, called MIVS. The target semantic frame is organized in a 3-layer hierarchical structure to tackle the alignment and assignment problems …

abstract arxiv capacity cs.cl form hierarchical language language understanding semantic semantics slu spoken spoken language understanding surface type understanding work