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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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Paper Details:
Year: 2000
Venue:
ANLP |
NAACL |
Citations
URL
DUDE: A Dialogue and Understanding Development Environment, Mapping Business Process Models to Information State Update Dialogue Systems
Oliver Lemon
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Xingkun Liu
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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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Detecting Problematic Turns in Human-Machine Interactions: Rule-induction Versus Memory-based Learning Approaches
Antal van den Bosch
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Emiel Krahmer
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Marc Swerts
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User Expertise Modeling and Adaptivity in a Speech-Based E-Mail System
Kristiina Jokinen
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Kari Kanto
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Predicting Success in Dialogue
David Reitter
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Johanna D. Moore
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Predicting Barge-in Utterance Errors by using Implicitly-Supervised ASR Accuracy and Barge-in Rate per User
Kazunori Komatani
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Alexander I. Rudnicky
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WIT: A Toolkit for Building Robust and Real-Time Spoken Dialogu Systems
Mikio Nakano
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Noboru Miyazaki
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Norihito Yasuda
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Akira Sugiyama
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Jun-ichi Hirasawa
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Kohji Dohsaka
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Kiyoaki Aikawa
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Experiences of an In-Service Wizard-of-Oz Data Collection for the Deployment of a Call-Routing Application
Mats Wirén
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Robert Eklund
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Using Performance Trajectories to Analyze the Immediate Impact of User State Misclassification in an Adaptive Spoken Dialogue System
Kate Forbes-Riley
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Diane Litman
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No URLs Found
Field Of Study
Task
Language Understanding
ASR
Language
English
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