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ICASSP
2011
IEEE
14 years 1 months ago
Bayesian reinforcement learning for POMDP-based dialogue systems
Spoken dialogue systems are gaining popularity with improvements in speech recognition technologies. Dialogue systems can be modeled effectively using POMDPs, achieving improvemen...
ShaoWei Png, Joelle Pineau
LREC
2010
154views Education» more  LREC 2010»
14 years 11 months ago
FAU IISAH Corpus -- A German Speech Database Consisting of Human-Machine and Human-Human Interaction Acquired by Close-Talking a
In this paper the FAU IISAH corpus and its recording conditions are described: a new speech database consisting of human-machine and human-human interaction recordings. Beside clo...
Werner Spiegl, Korbinian Riedhammer, Stefan Steidl...
83
Voted
ITS
2004
Springer
129views Multimedia» more  ITS 2004»
15 years 2 months ago
Spoken Versus Typed Human and Computer Dialogue Tutoring
While human tutors typically interact with students using spoken dialogue, most computer dialogue tutors are text-based. We have conducted two experiments comparing typed and spoke...
Diane J. Litman, Carolyn Penstein Rosé, Kat...
MLMI
2005
Springer
15 years 3 months ago
A Multimodal Discourse Ontology for Meeting Understanding
In this paper, we present a multimodal discourse ontology that serves as a knowledge representation and annotation framework for the discourse understanding component of an artifi...
John Niekrasz, Matthew Purver
SIGDIAL
2010
14 years 7 months ago
Towards an Empirically Motivated Typology of Follow-Up Questions: The Role of Dialogue Context
A central problem in Interactive Question Answering (IQA) is how to answer Follow-Up Questions (FU Qs), possibly by taking advantage of information from the dialogue context. We a...
Manuel Kirschner, Raffaella Bernardi