Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
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Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: Basi6 International, Irving, TX, Estados Unidos de America
EUR 68,25
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Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: SMASS Sellers, IRVING, TX, Estados Unidos de America
EUR 72,03
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Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 73,05
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Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 75,44
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Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: Basi6 International, Irving, TX, Estados Unidos de America
EUR 75,44
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Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 74,34
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Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: SMASS Sellers, IRVING, TX, Estados Unidos de America
EUR 79,57
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Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: Majestic Books, Hounslow, Reino Unido
EUR 72,94
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Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: Optimon Books, Gravesend, KENT, Reino Unido
EUR 59,66
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Añadir al carritoHardcover. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 70,97
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Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 84,09
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Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 85,65
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Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 81,42
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Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 78,83
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Idioma: Inglés
Publicado por Cambridge University Press, GB, 2021
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 102,95
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Añadir al carritoHardback. Condición: New. 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2021
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 89,40
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Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 89,30
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 114,00
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Añadir al carritoCondición: New. 2021. Hardcover. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Publicado por Cambridge University Press, 2021
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: Revaluation Books, Exeter, Reino Unido
EUR 110,46
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Añadir al carritoHardcover. Condición: Brand New. 260 pages. 9.50x6.50x0.75 inches. In Stock.
Idioma: Inglés
Publicado por CAMBRIDGE UNIVERSITY PRESS, 2021
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: UK BOOKS STORE, London, LONDO, Reino Unido
EUR 124,37
Cantidad disponible: 3 disponibles
Añadir al carritoHardcover. Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2021
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: Rarewaves.com UK, London, Reino Unido
EUR 96,67
Cantidad disponible: Más de 20 disponibles
Añadir al carritoHardback. Condición: New. 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2022
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 106,19
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2021
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: Revaluation Books, Exeter, Reino Unido
EUR 81,73
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Brand New. 260 pages. 9.50x6.50x0.75 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2021
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: CitiRetail, Stevenage, Reino Unido
EUR 88,31
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. 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. Storylines are at the heart of information sharing. This multidisciplinary book explores automated deep learning approaches that track events that make up news and nonfiction stories. Accessible to graduate students, it highlights new research and proposes solutions to overcome the fragmentation of this lively Natural Language Processing area. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2021
ISBN 10: 1108490573 ISBN 13: 9781108490573
Librería: moluna, Greven, Alemania
EUR 85,05
Cantidad disponible: Más de 20 disponibles
Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Storylines are at the heart of information sharing. This multidisciplinary book explores automated deep learning approaches that track events that make up news and nonfiction stories. Accessible to graduate students, it highlights new research and proposes .