We investigate the use of machine learning in combination with feature engineering techniques to explore human multimodal clarification strategies and the use of those strategies ...
Most dialogue systems are built with a single task in mind. This makes the extension of an existing system one of the major problems in the field as large parts of the system hav...
Computing confidence scores for applications, such as dialogue system, information retrieving and extraction, is an active research area. However, its focus has been primarily on ...
Abstract. Research in dialogue systems has been moving towards reusable and adaptable architectures for managing dialogue execution and integrating heterogeneous subsystems. In thi...
Robust Spoken Language Understanding (SLU) is a key component of spoken dialogue systems. Recent statistical approaches to this problem require additional resources (e.g. gazettee...
Driving behavior has been trending towards more time in the car and longer commutes. This has fueled the demand for an increasing number of in-vehicle infotainment features, at th...
Jackie C. Chang, Annie Lien, Brian Lathrop, Holger...