Requirements analysis and theory for statistical learning approaches in automaton-based dialogue management
Romain Laroche, Ghislain Putois, Philippe Bretier, Steve J. Young, Oliver Lemon · 2014
Project ref. no. 216594Project acronym CLASSiCProject full title Computational Learning in Adaptive Systems for SpokenConversationInstrument STREPThematic Priority Cognitive Systems, Interaction, and RoboticsStart date / duration 01 March 2008 / 36 MonthsSecurity PublicContractual date of delivery M06 = 09 2008Actual date of delivery October 24, 2008Deliverable number 1.1.1Deliverable title Requirements Analysis and Theory for Statistical LearningApproaches in Automaton-Based Dialogue ManagementType ReportStatus & version Final 1.0Number of pages 32 (excluding front matter)Contributing WP 1WP/Task responsible WP 1Other contributors Florence Duclaye,Author(s) Romain Laroche,Ghislain Putois, Philippe Bretier, SteveYoung, Oliver LemonEC Project Officer Xavier GrosKeywords Requirements, Dialogue Management, Machine Learning,EBRL, MVDP, POMDP, SDS, MDP