In previous work, we used plan recognition to improve responses to users in an advice-giving setting. We then characterized when it was worthwhile to engage a user in clarification dialogue--the cases where plan ambiguity mattered to the formulation of a response. Our current research develops detailed algorithms for selecting what to say during the clarification dialogue. We propose a default ...

Current dialogue systems are fairly poor in generating the wide range of clarification strategies as found in human-human dialogue. The overall aim of this work is to learn when and how to best employ different types of clarification strategies in multimodal dialogue systems. This paper describes a framework for learning multimodal clarification strategies for an in-car MP3 music player dialogu...

Spoken dialog tasks incur many errors including speech recognition errors, understanding errors, and even dialog management errors. These errors create a big gap between user's will and the system's understanding, and eventually result in a misinterpretation. To fill in the gap, people in human-to-human dialog try to clarify the major causes of the misunderstanding and selectively correct them....

Pectin rich fruit juices need enzymatic treatment for clarification. As fruits are rich in pectin, pectinolytic treatment can efficiently reduce viscosity resulting in clarified fruit juice. Enzymatic treatment of mango pulp results in 80% recovery of total juice present in the fruit. Use of pectin degrading polygalacturonases increases both fruit juice extraction and clarification. Polygalactu...