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» Learning User Intentions in Spoken Dialogue Systems
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LREC
2008
139views Education» more  LREC 2008»
14 years 11 months ago
Automatic Learning and Evaluation of User-Centered Objective Functions for Dialogue System Optimisation
The ultimate goal when building dialogue systems is to satisfy the needs of real users, but quality assurance for dialogue strategies is a non-trivial problem. The applied evaluat...
Verena Rieser, Oliver Lemon
CHI
2006
ACM
15 years 10 months ago
An interactive speech interface for summarizing agile project planning meetings
In this paper we present an autonomous meeting summarizer that transcribes an agile planning meeting and produces a textual summary of the discussion. We explore the issues involv...
Shelly Park, Jörg Denzinger, Frank Maurer, Eh...
CHI
2007
ACM
15 years 10 months ago
Context & usability testing: user-modeled information presentation in easy and difficult driving conditions
A 2x2 enhanced Wizard-of-Oz experiment (N = 32) was conducted to compare two different approaches to presenting information to drivers in easy and difficult driving conditions. Da...
Jiang Hu, Andi Winterboer, Clifford Nass, Johanna ...
ROMAN
2007
IEEE
117views Robotics» more  ROMAN 2007»
15 years 4 months ago
Speech Act Classification Based on Individual Statistical Models in a Multi-Domain
Speech act classification is an essential part of a dialogue system because it is very important to catch user's intention. The previous approaches on speech act classificatio...
Sangwoo Kang, Donghyun Kim, Harksoo Kim, Jungyun S...
AIED
2007
Springer
15 years 4 months ago
Comparing Linguistic Features for Modeling Learning in Computer Tutoring
We compare the relative utility of different automatically computable linguistic feature sets for modeling student learning in computer dialogue tutoring. We use the PARADISE frame...
Katherine Forbes-Riley, Diane J. Litman, Amruta Pu...