Recently various data-driven spoken language technologies have been applied to spoken dialog system development. However, high cost of maintaining the spoken dialog systems is one ...
Donghyeon Lee, Kyungduk Kim, Cheongjae Lee, Junhwi...
Intelligent planning algorithms such as the Partially Observable Markov Decision Process (POMDP) have succeeded in dialog management applications [10, 11, 12] because of their rob...
This paper explores what kind of user simulation model is suitable for developing a training corpus for using Markov Decision Processes (MDPs) to automatically learn dialog strate...
— If robots are to succeed in novel tasks, they must be able to learn from humans. To improve such humanrobot interaction, a system is presented that provides dialog structure an...
An accurate identification dialog acts (DAs), which represent the illocutionary aspect of communication, is essential to support the understanding of human conversations. This re...
Silvia Quarteroni, Alexei V. Ivanov, Giuseppe Ricc...