Jiankai Zhu

Anchor-Guided GAN with Contrastive Loss for Low-Resource Out-of-Domain Detection

Out-of-domain (OOD) detection plays an important role in spoken language understanding (SLU). It can help dialog systems reduce confusion between in-domain (ID) and OOD utterances. Many dialog systems train their model to achieve this goal by collecting annotated OOD and ID data. However, acquiring…