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Conversational dialogue systems for the next decade / / edited by Luis Fernando D'Haro, Zoraida Callejas, Satoshi Nakamura



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Titolo: Conversational dialogue systems for the next decade / / edited by Luis Fernando D'Haro, Zoraida Callejas, Satoshi Nakamura Visualizza cluster
Pubblicazione: Singapore : , : Springer, , [2021]
©2021
Edizione: 1st ed. 2021.
Descrizione fisica: 1 online resource (XXII, 406 p. 104 illus., 82 illus. in color.)
Disciplina: 621.3822
Soggetto topico: Signal processing
Image processing
Speech processing systems
Persona (resp. second.): D'HaroLuis Fernando
CallejasZoraida
NakamuraSatoshi
Nota di contenuto: A Character Expression Model Affecting Spoken Dialogue Behaviors -- ToxicBot: A Conversational Agent to Fight Online Hate Speech -- Towards a Humorous Chat-bot Companion for Senior Citizens -- Masheli: A Choctaw-English bilingual chatbot -- Deep AM-FM: Toolkit For Automatic Dialogue Evaluation -- Automatic Evaluation of Non-Task Oriented Dialog Systems by using Sentence Embeddings Projections and their Dynamics -- Learning to Rank Intents in Voice Assistants -- Culture-Aware Dialogue Management for Conversational Assistants -- Dialog State Tracking with Incorporation of Target Value in Attention Models -- Delay Mitigation for Backchannel Prediction in Spoken Dialog System -- Towards Personalization of Spoken Dialogue System Communication Strategies -- Authoring Negotiation Content and Programming Simulated Patients.
Sommario/riassunto: 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 the classical problems of dialogue management, language generation, question answering, human–robot interaction, chatbots design and evaluation, as well as topics related to the human nature of the conversational phenomena such as humour, social context, specific applications for e-health, understanding, and awareness.
Titolo autorizzato: Conversational dialogue systems for the next decade  Visualizza cluster
ISBN: 981-15-8395-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910483782603321
Lo trovi qui: Univ. Federico II
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Serie: Lecture notes in electrical engineering ; ; Volume 704.