| 期刊全称 | Building Dialogue POMDPs from Expert Dialogues | | 期刊简称 | An end-to-end approa | | 影响因子2023 | Hamidreza Chinaei,Brahim Chaib-draa | | 视频video | | | 发行地址 | Provides insights on building dialogue systems to be applied in real domain.Illustrates learning dialogue POMDP model components from unannotated dialogues in a concise format.Introduces an end-to-end | | 学科分类 | SpringerBriefs in Speech Technology | | 图书封面 |  | | 影响因子 | .This book discusses the Partially Observable Markov Decision Process (POMDP) framework applied in dialogue systems. It presents POMDP as a formal framework to represent uncertainty explicitly while supporting automated policy solving. The authors propose and implement an end-to-end learning approach for dialogue POMDP model components. Starting from scratch, they present the state, the transition model, the observation model and then finally the reward model from unannotated and noisy dialogues. These altogether form a significant set of contributions that can potentially inspire substantial further work. This concise manuscript is written in a simple language, full of illustrative examples, figures, and tables.. | | Pindex | Book 2016 |
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发表于 2025-3-21 17:51:09
