Persistent information state in a data-centric architecture

Authors:
Sebastian Varges;Giuseppe Riccardi;Silvia Quarteroni
Affiliations:
University of Trento, Povo di Trento, Italy;University of Trento, Povo di Trento, Italy;University of Trento, Povo di Trento, Italy
Venue:
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Year:
2008

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Abstract

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.