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» Learning User Intentions in Spoken Dialogue Systems
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WWW
2009
ACM
15 years 10 months ago
Discovering users' specific geo intention in web search
Discovering users' specific and implicit geographic intention in web search can greatly help satisfy users' information needs. We build a geo intent analysis system that...
Xing Yi, Hema Raghavan, Chris Leggetter
ACL
2009
14 years 7 months ago
Predicting Barge-in Utterance Errors by using Implicitly-Supervised ASR Accuracy and Barge-in Rate per User
Modeling of individual users is a promising way of improving the performance of spoken dialogue systems deployed for the general public and utilized repeatedly. We define "im...
Kazunori Komatani, Alexander I. Rudnicky
KI
2009
Springer
15 years 2 months ago
Semi-automatic Creation of Resources for Spoken Dialog Systems
The increasing number of spoken dialog systems calls for efficient approaches for their development and testing. Our goal is the minimization of hand-crafted resources to maximize ...
Tatjana Scheffler, Roland Roller, Norbert Reithing...
ATAL
2008
Springer
15 years 2 hour ago
A 'companion' ECA with planning and activity modelling
In this paper, we describe the development of an Embodied Conversational Agent (ECA) implementing the concept of a companion, i.e. an agent supporting the persistent representatio...
Marc Cavazza, Cameron Smith, Daniel Charlton, Li Z...
ACL
2008
14 years 11 months ago
Learning Effective Multimodal Dialogue Strategies from Wizard-of-Oz Data: Bootstrapping and Evaluation
We address two problems in the field of automatic optimization of dialogue strategies: learning effective dialogue strategies when no initial data or system exists, and evaluating...
Verena Rieser, Oliver Lemon