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[ subject:"Semantic computing" ]
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Increasing naturalness and flexibili...
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International Workshop on Spoken Dialogue Systems (2019 :)
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Increasing naturalness and flexibility in spoken dialogue interaction = 10th International Workshop on Spoken Dialogue Systems /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Increasing naturalness and flexibility in spoken dialogue interaction/ edited by Erik Marchi ... [et al.].
其他題名:
10th International Workshop on Spoken Dialogue Systems /
其他作者:
Marchi, Erik.
團體作者:
International Workshop on Spoken Dialogue Systems
出版者:
Singapore :Springer Singapore : : 2021.,
面頁冊數:
x, 453 p. :ill., digital ;24 cm.
內容註:
Skip Act Vectors: integrating dialogue context into sentence embeddings -- End-to-end modeling for selection of utterance constructional units via system internal states -- Context Aware Dialog Management with Unsupervised Ranking -- Predicting laughter relevance spaces in dialogue -- Transfer Learning for Unseen Slots in End-to-end Dialogue State Tracking -- Managing Multi-task Dialogs by means of a Statistical Dialog Management Technique -- Generating supportive utterances for open-domain argumentative dialogue systems -- VOnDA: A Framework for Ontology-Based Dialogue Management -- Towards increasing naturalness and flexibility in human-robot dialogue systems -- A Classification-Based Approach to Automating Human-Robot Dialogue.
Contained By:
Springer Nature eBook
標題:
Human-robot interaction - Congresses. -
電子資源:
https://doi.org/10.1007/978-981-15-9323-9
ISBN:
9789811593239
Increasing naturalness and flexibility in spoken dialogue interaction = 10th International Workshop on Spoken Dialogue Systems /
Increasing naturalness and flexibility in spoken dialogue interaction
10th International Workshop on Spoken Dialogue Systems /[electronic resource] :edited by Erik Marchi ... [et al.]. - Singapore :Springer Singapore :2021. - x, 453 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v.7141876-1100 ;. - Lecture notes in electrical engineering ;v.714..
Skip Act Vectors: integrating dialogue context into sentence embeddings -- End-to-end modeling for selection of utterance constructional units via system internal states -- Context Aware Dialog Management with Unsupervised Ranking -- Predicting laughter relevance spaces in dialogue -- Transfer Learning for Unseen Slots in End-to-end Dialogue State Tracking -- Managing Multi-task Dialogs by means of a Statistical Dialog Management Technique -- Generating supportive utterances for open-domain argumentative dialogue systems -- VOnDA: A Framework for Ontology-Based Dialogue Management -- Towards increasing naturalness and flexibility in human-robot dialogue systems -- A Classification-Based Approach to Automating Human-Robot Dialogue.
This book compiles and presents a synopsis on current global research efforts to push forward the state of the art in dialogue technologies, including advances to language and context understanding, and dialogue management, as well as human-robot interaction, conversational agents, question answering and lifelong learning for dialogue systems.
ISBN: 9789811593239
Standard No.: 10.1007/978-981-15-9323-9doiSubjects--Topical Terms:
3166484
Human-robot interaction
--Congresses.
LC Class. No.: TJ211.49 / .I537 2019
Dewey Class. No.: 629.8924019
Increasing naturalness and flexibility in spoken dialogue interaction = 10th International Workshop on Spoken Dialogue Systems /
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Skip Act Vectors: integrating dialogue context into sentence embeddings -- End-to-end modeling for selection of utterance constructional units via system internal states -- Context Aware Dialog Management with Unsupervised Ranking -- Predicting laughter relevance spaces in dialogue -- Transfer Learning for Unseen Slots in End-to-end Dialogue State Tracking -- Managing Multi-task Dialogs by means of a Statistical Dialog Management Technique -- Generating supportive utterances for open-domain argumentative dialogue systems -- VOnDA: A Framework for Ontology-Based Dialogue Management -- Towards increasing naturalness and flexibility in human-robot dialogue systems -- A Classification-Based Approach to Automating Human-Robot Dialogue.
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