Chat Detection in an Intelligent Assistant: Combining Task-oriented and Non-task-oriented Spoken Dialogue Systems

Understand

Recently emerged intelligent assistants on smartphones and home electronics (e.g., Siri and Alexa) can be seen as novel hybrids of domain-specific task-oriented spoken dialogue systems and open-domain non-task-oriented ones.

• To realize such hybrid dialogue systems, this paper investigates determining whether or not a user is going to have a chat with the system.
• To address the lack of benchmark datasets for this task, we construct a new dataset consisting of 15; 160 utterances collected from the real log data of a commercial intelligent assistant (and will release the dataset to facilitate future research activity).
• In addition, we investigate using tweets and Web search queries for handling open-domain user utterances, which characterize the task of chat detection.