Association control in mobile wireless networks
Minkyong Kim, Zhen Liu, et al.
INFOCOM 2008
Out of Scope (OOS) detection in Conversational AI solutions enables a chatbot to handle a conversation gracefully when it is unable to make sense of the end-user query. Accurately tagging a query as out-of-domain is particularly hard in scenarios when the chatbot is not equipped to handle a topic which has semantic overlap with an existing topic it is trained on. We propose a simple yet effective OOS detection method that outperforms standard OOS detection methods in a real-world deployment of virtual assistants. We discuss the various design and deployment considerations for a cloud platform solution to train virtual assistants and deploy them at scale. Additionally, we propose a collection of datasets that replicates real-world scenarios and show comprehensive results in various settings using both offline and online evaluation metrics.
Minkyong Kim, Zhen Liu, et al.
INFOCOM 2008
Daniel M. Bikel, Vittorio Castelli
ACL 2008
George Kour, Samuel Ackerman, et al.
EMNLP 2022
Nanda Kambhatla
ACL 2004