Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Verlag: Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
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In den WarenkorbHardcover. Zustand: Good. "THERE ARE NO TARIFFS OR CUSTOMS DUTIES ON BOOKS. Event structures are central in Linguistics and Artificial Intelligence research: people can easily refer to changes in the world, identify their participants, distinguish relevant information, and have expectations of what can happen next. Part of this process is based on mechanisms similar to narratives, which are at the heart of information sharing. But it remains difficult to automatically detect events or automatically construct stories from such event representations. This book explores how to handle today's massive news streams and provides multidimensional, multimodal, and distributed approaches, like automated deep learning, to capture events and narrative structures involved in a 'story'. This overview of the current state-of-the-art on event extraction, temporal and casual relations, and storyline extraction aims to establish a new multidisciplinary research community with a common terminology and research agenda. Graduate students and researchers in natural language processing, computational linguistics, and media studies will benefit from this book. The book is in good clean condition and appears unread.".
Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
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In den WarenkorbPaperback. Zustand: Brand New. 207 pages. 9.26x6.10x0.44 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
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Sprache: Englisch
Verlag: Springer Nature Switzerland, 2023
ISBN 10: 3031478959 ISBN 13: 9783031478956
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 5th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2023, which was held in Amsterdam, The Netherlands, during November 21-22, 2023.The 13 full papers presented in this book were carefully reviewed and selected from 19 submissions. The papers focus on misinformation, disinformation, hate speech, disinformation campaigns, social network analysis, large language models, generative AI, and multi-modal embeddings.
Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
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Sprache: Englisch
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ISBN 10: 1108490573 ISBN 13: 9781108490573
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In den WarenkorbHardcover. Zustand: Brand New. 260 pages. 9.50x6.50x0.75 inches. In Stock.
Taschenbuch. Zustand: Neu. Disinformation in Open Online Media | 5th Multidisciplinary International Symposium, MISDOOM 2023, Amsterdam, The Netherlands, November 21-22, 2023, Proceedings | Davide Ceolin (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xvi | Englisch | 2023 | Springer | EAN 9783031478956 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Event structures are central in Linguistics and Artificial Intelligence research: people can easily refer to changes in the world, identify their participants, distinguish relevant information, and have expectations of what can happen next. Part of this process is based on mechanisms similar to narratives, which are at the heart of information sharing. But it remains difficult to automatically detect events or automatically construct stories from such event representations. This book explores how to handle today's massive news streams and provides multidimensional, multimodal, and distributed approaches, like automated deep learning, to capture events and narrative structures involved in a 'story'. This overview of the current state-of-the-art on event extraction, temporal and casual relations, and storyline extraction aims to establish a new multidisciplinary research community with a common terminology and research agenda. Graduate students and researchers in natural language processing, computational linguistics, and media studies will benefit from this book.