Persistent information state in a data-centric architecture
Sebastian Varges, Giuseppe Riccardi, Silvia Quarteroni · 2008
We present the ADAMACH data centric dialog system, that allows to perform on- and off-line mining of dialog context, speech recognition results and other system-generated representations, both within and across dialogs. The architecture implements a "fat pipeline" for speech and language processing. We detail how the approach integrates domain knowledge and evolving empirical data, based on a user study in the University Helpdesk domain.