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Partitioning POMDPs for multiple input types, and their application to dialogue managers
COWDEROY, GRACE
This research looks at the POMDP models used for dialogue management within Spoken Dialogue Systems (SDS). In particular, it examines the difficulty of handling multimodal inputs. It proposes a generalisation of the POMDP model in order to tackle this. This model is shown, via a Car Advisory system, to improve tractability for multimodal inputs.
Keyword(s): partitioning POMDPs; car advisory system; POMDP; dialogue manager; multimodal input
Publication Date:
2018
Type: Master thesis (research)
Peer-Reviewed: Yes
Language(s): English
Institution: Trinity College Dublin
Citation(s): COWDEROY, GRACE, Partitioning POMDPs for multiple input types, and their application to dialogue managers, Trinity College Dublin.School of Computer Science & Statistics, 2018
Publisher(s): Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science
Supervisor(s): VOGEL, CARL
First Indexed: 2018-12-02 06:12:17 Last Updated: 2018-12-02 06:12:17