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» Data-Driven Strategies for an Automated Dialogue System
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ACL
2004
13 years 6 months ago
Data-Driven Strategies for an Automated Dialogue System
We present a prototype natural-language problem-solving application for a financial services call center, developed as part of the Amiti
Hilda Hardy, Tomek Strzalkowski, Min Wu, Cristian ...
CSL
2010
Springer
13 years 4 months ago
Evaluation of a hierarchical reinforcement learning spoken dialogue system
We describe an evaluation of spoken dialogue strategies designed using hierarchical reinforcement learning agents. The dialogue strategies were learnt in a simulated environment a...
Heriberto Cuayáhuitl, Steve Renals, Oliver ...
AIED
2009
Springer
13 years 11 months ago
Discovering Tutorial Dialogue Strategies with Hidden Markov Models
Identifying effective tutorial strategies is a key problem for tutorial dialogue systems research. Ongoing work in human-human tutorial dialogue continues to reveal the complex phe...
Kristy Elizabeth Boyer, Eunyoung Ha, Michael D. Wa...
CSL
1998
Springer
13 years 4 months ago
Evaluating spoken dialogue agents with PARADISE: Two case studies
This paper presents PARADISE PARAdigm for DIalogue System Evaluation, a general framework for evaluating and comparing the performance of spoken dialogue agents. The framework d...
Marilyn A. Walker, Diane J. Litman, Candace A. Kam...
EWCBR
2006
Springer
13 years 8 months ago
What Evaluation Criteria Are Right for CCBR? Considering Rank Quality
Abstract. Evaluation criteria for conversational CBR (CCBR) systems are important to guide development and tuning of new methods, and to enable practitioners to make informed decis...
Steven Bogaerts, David B. Leake