This paper details a software architecture for discourse processing in spoken dialogue systems, where the three component tasks of discourse processing are (1) Dialogue Management, (2) Context Tracking, and (3) Pragmatic Adaptation. We define these three component tasks and describe their roles in a complex, near-future scenario in which multiple humans interact with each other and with compute...

university course timetabling problem is a serious challenge for the academic managers in each semester. because of a vast number of constraints and the complexity of relationship among the constraints, the problem is known to be of hard class. in this paper, a decision support system is proposed to assist the decision makers in solving the university course timetabling. the proposed system pro...

We present a highly portable and cooperative dialoguemanager component of a developing, Slovenian and Croatian spoken dialogue system forweather-information retrieval. In order to evaluate the performance of this component, two Wizard-of-Oz experiments were performed. The only difference between the two experiment settings was in the dialogue-management manner, i.e., while in the first experime...

Task variation is an integrative method aiming at the importance of learner-to-learner interactions in a wide range of learning contexts and fostering authentic use of language and meaningful communication. This study investigated the impact of task variation on the accuracy and complexity of Iranian EFL learners’ oral speech. In so doing, 80 intermediate EFL learners, majoring English at the I...

Controlled user testing of the dialogue component of spoken language dialogue systems (SLDSs) has a natural focus on the detection, analysis and repair of dialogue design problems. Not only dialogue designers and their systems commit errors, however. Users do so as well. Improvement of dialogue interaction is not only a matter of reducing the number and severity of dialogue design problems but ...

We present the dialogue component of the speech-to-speech translation system verb-mobil. In contrast to conventional dialogue systems it mediates the dialogue while processing maximally 50% of the dialogue in depth. Special requirements (ro-bustness and eeciency) lead to a 3-layered hybrid architecture for the dialogue module , using statistics, an automaton and a planner. A dialogue memory is ...

This paper investigates how to automatically create a dialogue control component of a listening agent to reduce the current high cost of manually creating such components. We collected a large number of listening-oriented dialogues with their user satisfaction ratings and used them to create a dialogue control component using partially observable Markov decision processes (POMDPs), which can le...