A00-2028 many re - spects . We show how spoken dialogue systems can learn to support
A00-2027 , an adaptive mixed initiative spoken dialogue system . We conducted two experiments
A00-2027 distinguish MIMIC from other existing spoken dialogue systems . First , MIMIC automatically
A00-2027 of an adaptive mixed initiative spoken dialogue system . We conducted two sets
A00-2029 dialogue manager in most current spoken dialogue systems ( SDSs ) is error handling
A00-2027 introduce MIMIC , a mixed initiative spoken dialogue system that automatically adapts
A00-1010 We describe Talk 'n' Travel , a spoken dialogue language system for making air
A00-2027 Dialogue Strategy Adaptation for a Spoken Dialogue System </title> Jennifer Chu-Carroll
A00-1014 , an adaptive mixedinitiative spoken dialogue system . MIMIC 's automatic adaptation
A00-1014 dialogue management component of a spoken dialogue system to allow for automatic
A00-2001 nature , and directly characterise spoken dialogue ; a typical example of a discourse
A00-2028 analyze a corpus of logs from a spoken dialogue system for the purpose of learning
A00-1014 . Our main goal is to enable a spoken dialogue system to simulate such human
A00-2027 speech technologies have enabled spoken dialogue systems to employ mixed initiative
A00-1014 of experimental prototypes of spoken dialogue systems . Acknowledgments The
A00-1014 general framework for developing spoken dialogue systems with different adaptation
A00-2028 Diane Litman Abstract Current spoken dialogue systems are deficient in their
A00-1014 : An Adaptive Mixed Initiative Spoken Dialogue System for Information Queries
A00-2028 Predict Problematic Situations in a Spoken Dialogue System : Experiments with How
A00-2028 experience . One way that current spoken dialogue systems are quite limited is
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