While most conversational AI systems focus on textual dialogue only, conditioning
utterances on visual context (when it's available) can lead to more realistic conversations …

This paper proposes a generic dialog modeling framework for a multi-domain dialog system
to simultaneously manage goal-oriented and chat dialogs for both information access and …

ABSTRACT A spoken dialogue system (SDS) is a specialised form of computer system that
operates as an interface between users and the application, using spoken natural language …

BACKGROUND A dialog system is a computer system that is designed to converse with a
human using a coherent structure and text, speech, graphics, or other modes of …

This paper proposes a probabilistic framework for spoken dialog management using dialog
examples. To overcome the complexity problems of the classic partially observable Markov …

High school students begin applying to university during the senior year or upon completion.
This marks the beginning of a complete frustration for students as well as admissions staff …

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 …

Large Language Models (LLMs) have shown the potential to be valuable teaching tools,
with the potential of giving every student a personalized tutor. However, one challenge with …

Abstract Partially observable Markov decision Processes provide an excellent statistical
framework to deal with spoken dialog systems that admits global optimization and deal with …

context object for a conversation with a user. The context manager automatically updates the
context object based on an information detected by the other modules of contextual user …