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Computational Analysis of Storylines: Making Sense of Events

Edited by Tommaso Caselli, Edited by Eduard Hovy, Edited by Martha Palmer, Edited by Piek Vossen

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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.

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Normally shipped | Available from overseas. Dispatched in aprox 4-8 WEEKS as local supplier is out of stock
Publisher | Cambridge University Press
Published date | 25 Nov 2021
Language |
Format | Hardback
Pages | 274
Dimensions | 233 x 156 x 18mm (L x W x H)
Weight | 510g
ISBN | 978-1-1084-9057-3
Readership Age |
BISAC | computers / natural language processing


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