Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts

arXiv:2305.03237v2 Announce Type: replace-cross
Abstract: Out-of-Domain (OOD) intent detection is vital for practical dialogue systems, and it usually requires considering multi-turn dialogue contexts. However, most previous OOD intent detection approaches are limited to single dialogue turns. In this paper, we introduce a context-aware OOD intent detection (Caro) framework to model multi-turn contexts in OOD intent detection tasks. Specifically, we follow the information bottleneck principle to extract robust representations from multi-turn dialogue contexts. Two different views are constructed for each input …

abstract arxiv context cs.ai cs.cl cs.lg detection dialogue domain framework intent detection paper practical systems type vital