If a dialog system can respond to a user as natural as a human, the interaction will be smoother. In this research, we aim to develop a dialog system which can make various behavi...
This work presents an agenda-based approach to improve the robustness of the dialog manager by using dialog examples and n-best recognition hypotheses. This approach supports n-be...
In this paper we present experiments related to the validation of spoken language understanding capabilities in a language and culture training system. In this application, word-l...
Two measures of lexical cohesion were developed and applied to a corpus of human-computer tutoring dialogs. For both measures, the amount of cohesion in the tutoring dialog was fo...
Automatic segmentation and classification of dialog acts (DAs; e.g., statements versus questions) is important for spoken language understanding (SLU). While most systems have re...