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Comparing Local and Sequential Models for Statistical Incremental Natural Language Understanding
Silvan Heintze
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Timo Baumann
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David Schlangen
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Paper Details:
Month: September
Year: 2010
Location: Tokyo, Japan
Venue:
SIGDIAL |
WS |
SIG: SIGDIAL
Citations
URL
Situated Incremental Natural Language Understanding using a Multimodal, Linguistically-driven Update Model
Casey Kennington
|
Spyros Kousidis
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David Schlangen
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A Multimodal Corpus of Rapid Dialogue Games
Maike Paetzel
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David Nicolas Racca
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David DeVault
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A method for the approximation of incremental understanding of explicit utterance meaning using predictive models in finite domains
David DeVault
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David Traum
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Predicting the Micro-Timing of User Input for an Incremental Spoken Dialogue System that Completes a User’s Ongoing Turn
Timo Baumann
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David Schlangen
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The InproTK 2012 release
Timo Baumann
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David Schlangen
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Interpreting Situated Dialogue Utterances: an Update Model that Uses Speech, Gaze, and Gesture Information
Casey Kennington
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Spyros Kousidis
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David Schlangen
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Improving Classification-Based Natural Language Understanding with Non-Expert Annotation
Fabrizio Morbini
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Eric Forbell
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Kenji Sagae
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http://crfpp.sourceforge.net/
Field Of Study
Linguistic Trends
Discourse
Task
Language Understanding
Tagging
ASR
Spoken Language Processing
Language
English
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