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Characterizing and Recognizing Spoken Corrections in Human-Computer Dialogue
Gina-Anne Levow
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Paper Details:
Month: August
Year: 1998
Location: Montreal, Quebec, Canada
Venue:
ACL |
COLING |
Citations
URL
Learning to Predict Problematic Situations in a Spoken Dialogue System: Experiments with How May I Help You?
Marilyn Walker
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Irene Langkilde
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Jerry Wright
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Allen Gorin
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Diane Litman
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Predicting Automatic Speech Recognition Performance Using Prosodic Cues
Diane J. Litman
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Julia B. Hirschberg
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Marc Swerts
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Finding Errors Automatically in Semantically Tagged Dialogues
John Aberdeen
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Christine Doran
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Laurie Damianos
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Samuel Bayer
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Lynette Hirschman
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Characterizing and Predicting Corrections in Spoken Dialogue Systems
Diane Litman
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Marc Swerts
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Julia Hirschberg
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Identifying User Corrections Automatically in Spoken Dialogue Systems
Julia Hirschberg
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Diane Litman
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Marc Swerts
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Predicting User Reactions to System Error
Diane Litman
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Julia Hirschberg
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Marc Swerts
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What’s the Trouble: Automatically Identifying Problematic Dialogues in DARPA Communicator Dialogue Systems
Helen Wright Hastie
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Rashmi Prasad
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Marilyn Walker
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Towards Conversational QA: Automatic Identification of Problematic Situations and User Intent
Joyce Y. Chai
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Chen Zhang
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Tyler Baldwin
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Detecting Retries of Voice Search Queries
Rivka Levitan
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David Elson
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Automatic Detection of Poor Speech Recognition at the Dialogue Level
Diane J. Litman
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Marilyn A. Walker
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Michael S. Kearns
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Labeling Corrections and Aware Sites in Spoken Dialogue Systems
Julia Hirschberg
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Marc Swerts
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Diane Litman
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Prosodic Cues to Discourse Segment Boundaries in Human-Computer Dialogue
Gina-Anne Levow
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Predicting Concept Types in User Corrections in Dialog
Svetlana Stoyanchev
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Amanda Stent
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