New Semantic Task for the French Spoken Language Understanding MEDIA Benchmark

arXiv:2403.19727v1 Announce Type: new
Abstract: Intent classification and slot-filling are essential tasks of Spoken Language Understanding (SLU). In most SLUsystems, those tasks are realized by independent modules. For about fifteen years, models achieving both of themjointly and exploiting their mutual enhancement have been proposed. A multilingual module using a joint modelwas envisioned to create a touristic dialogue system for a European project, HumanE-AI-Net. A combination ofmultiple datasets, including the MEDIA dataset, was suggested for training this joint model. The MEDIA …

abstract arxiv benchmark classification cs.ai cs.cl french independent language language understanding media modules multilingual semantic slu spoken spoken language understanding tasks type understanding