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Demonstration of the PARLANCE system: a data-driven incremental, spoken dialogue system for interactive search
Helen Hastie
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Marie-Aude Aufaure
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Panos Alexopoulos
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Heriberto Cuayáhuitl
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Nina Dethlefs
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Milica Gasic
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James Henderson
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Oliver Lemon
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Xingkun Liu
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Peter Mika
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Nesrine Ben Mustapha
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Verena Rieser
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Blaise Thomson
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Pirros Tsiakoulis
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Yves Vanrompay
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Paper Details:
Month: August
Year: 2013
Location: Metz, France
Venue:
SIGDIAL |
WS |
SIG: SIGDIAL
Citations
URL
Cluster-based Prediction of User Ratings for Stylistic Surface Realisation
Nina Dethlefs
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Heriberto Cuayáhuitl
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Helen Hastie
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Verena Rieser
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Oliver Lemon
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Dialogue System Characterisation by Back-channelling Patterns Extracted from Dialogue Corpus
Masashi Inoue
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Hiroshi Ueno
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An easy method to make dialogue systems incremental
Hatim Khouzaimi
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Romain Laroche
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Fabrice Lefevre
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The PARLANCE mobile application for interactive search in English and Mandarin
Helen Hastie
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Marie-Aude Aufaure
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Panos Alexopoulos
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Hugues Bouchard
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Catherine Breslin
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Heriberto Cuayáhuitl
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Nina Dethlefs
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Milica Gašić
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James Henderson
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Oliver Lemon
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Xingkun Liu
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Peter Mika
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Nesrine Ben Mustapha
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Tim Potter
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Verena Rieser
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Blaise Thomson
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Pirros Tsiakoulis
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Yves Vanrompay
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Boris Villazon-Terrazas
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Majid Yazdani
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Steve Young
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Yanchao Yu
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“So, which one is it?” The effect of alternative incremental architectures in a high-performance game-playing agent
Maike Paetzel
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Ramesh Manuvinakurike
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David DeVault
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Optimising Turn-Taking Strategies With Reinforcement Learning
Hatim Khouzaimi
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Romain Laroche
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Fabrice Lefèvre
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Using Reinforcement Learning to Model Incrementality in a Fast-Paced Dialogue Game
Ramesh Manuvinakurike
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David DeVault
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Kallirroi Georgila
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http://parlance-project.eu
http://www.parlance-project.eu
http://mi.eng.cam.ac.uk/research/dialogue/
Field Of Study
Linguistic Trends
Discourse
Task
Language Understanding
ASR
Language
English
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