Sciweavers

SIGDIAL
2010
13 years 2 months ago
Probabilistic Ontology Trees for Belief Tracking in Dialog Systems
We introduce a novel approach for robust belief tracking of user intention within a spoken dialog system. The space of user intentions is modeled by a probabilistic extension of t...
Neville Mehta, Rakesh Gupta, Antoine Raux, Deepak ...
CSL
2002
Springer
13 years 4 months ago
Stochastic natural language generation for spoken dialog systems
We describe a corpus-based approach to natural language generation (NLG). The approach has been implemented as a component of a spoken dialog system and a series of evaluations we...
Alice Oh, Alexander I. Rudnicky
CSL
2007
Springer
13 years 4 months ago
Partially observable Markov decision processes for spoken dialog systems
In a spoken dialog system, determining which action a machine should take in a given situation is a difficult problem because automatic speech recognition is unreliable and hence ...
Jason D. Williams, Steve Young
IICAI
2003
13 years 6 months ago
Belief Augmented Frame Sets for Knowledge Representation in Spoken Dialog Systems
We propose a frame structure that is augmented with belief functions to model knowledge in a spoken dialog system. In addition we propose methods to combine belief functions in the...
Colin Keng-Yan Tan, Kim-Teng Lua
NAACL
2004
13 years 6 months ago
Optimizing Automated Call Routing by Integrating Spoken Dialog Models with Queuing Models
Organizations are increasingly turning to spoken dialog systems for automated call routing to reduce call center costs. To maintain quality service even in cases of failure, these...
Tim Paek, Eric Horvitz
ACL
2006
13 years 6 months ago
On2L - A Framework for Incremental Ontology Learning in Spoken Dialog Systems
An open-domain spoken dialog system has to deal with the challenge of lacking lexical as well as conceptual knowledge. As the real world is constantly changing, it is not possible...
Berenike Loos
LREC
2010
156views Education» more  LREC 2010»
13 years 6 months ago
Estimation Method of User Satisfaction Using N-gram-based Dialog History Model for Spoken Dialog System
In this paper, we propose an estimation method of user satisfaction for a spoken dialog system using an N-gram-based dialog history model. We have collected a large amount of spok...
Sunao Hara, Norihide Kitaoka, Kazuya Takeda
ACL
2008
13 years 6 months ago
Using Automatically Transcribed Dialogs to Learn User Models in a Spoken Dialog System
We use an EM algorithm to learn user models in a spoken dialog system. Our method requires automatically transcribed (with ASR) dialog corpora, plus a model of transcription error...
Umar Syed, Jason Williams
ICMCS
2005
IEEE
87views Multimedia» more  ICMCS 2005»
13 years 10 months ago
A Probabilistic Description of Man-Machine Spoken Communication
Speech enabled interfaces and spoken dialog systems are mostly based on statistical speech and language processing modules. Their behavior is therefore not deterministic and hardl...
Olivier Pietquin
CHI
2001
ACM
14 years 4 months ago
Responding to subtle, fleeting changes in the user's internal state
In human-to-human interaction, people sometimes are able to pick up and respond sensitively to the other's internal state as it shifts moment by moment over the course of an ...
Wataru Tsukahara, Nigel Ward