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» Learning User Intentions in Spoken Dialogue Systems
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EMNLP
2009
14 years 7 months ago
It's Not You, it's Me: Detecting Flirting and its Misperception in Speed-Dates
Automatically detecting human social intentions from spoken conversation is an important task for dialogue understanding. Since the social intentions of the speaker may differ fro...
Rajesh Ranganath, Dan Jurafsky, Dan McFarland
ACL
2003
14 years 11 months ago
A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue
We apply a decision tree based approach to pronoun resolution in spoken dialogue. Our system deals with pronouns with NPand non-NP-antecedents. We present a set of features design...
Michael Strube, Christoph Müller
LREC
2010
151views Education» more  LREC 2010»
14 years 11 months ago
Towards Investigating Effective Affective Dialogue Strategies
We describe an experimental Wizard-of-Oz-setup for the integration of emotional strategies into spoken dialogue management. With this setup we seek to evaluate different approache...
Gregor Bertrand, Florian Nothdurft, Steffen Walter...
ACL
2001
14 years 11 months ago
Detecting Problematic Turns in Human-Machine Interactions: Rule-induction Versus Memory-based Learning Approaches
We address the issue of on-line detection of communication problems in spoken dialogue systems. The usefulness is investigated of the sequence of system question types and the wor...
Antal van den Bosch, Emiel Krahmer, Marc Swerts
COLING
1996
14 years 11 months ago
GRICE INCORPORATED Cooperativity in Spoken Dialogue
The paper presents a consolidated set of principles of cooperative spoken human-machine dialogue which have the potential tor being turned into practically applicable design guide...
Laila Dybkjær, Niels Ole Bernsen, Hans Dybkj...