Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification
Guangfeng Yan, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Xiao-Ming Wu, Albert Y. S. Lam · 2020
User intent classification plays a vital role in dialogue systems.Since user intent may frequently change over time in many realistic scenarios, unknown (new) intent detection has become an essential problem, where the study has just begun.This paper proposes Understanding user intent is crucial for developing conversational and dialogue systems.It is essential to accurately identify the intent behind a user utterance to better guide downstream decisions and policies.With the advent of conversational AI, dialogue systems are becoming central tools in many applications such as mobile apps, companion bots, virtual assistants and so on.Since user interests may change frequently over time, the AI agents may continuously see unknown (new) user intents.Manual annotation can hardly catch up with such rapid development, which motivates the problem * Equal contribution.