Now showing items 1-2 of 2
User-Aware Dialogue Management Policies over Attributed Bi-Automata
Designing dialogue policies that take user behavior into account is complicated due to user vari- ability and behavioral uncertainty. Attributed Prob- abilistic Finite State Bi-Automata (A-PFSBA) have proven to be a promising ...
Regularized Neural User Model for Goal-Oriented Spoken Dialogue Systems
User simulation is widely used to generate artificial dialogues in order to train statistical spoken dialogue systems and perform evaluations. This paper presents a neural network approach for user modeling that exploits ...