Computational Analysis of Storylines: Making Sense of Events (Studies in Natural Language Processing)
25 Nov. 2021
Author: Tommaso Caselli,Eduard Hovy,Martha Palmer,Piek Vossen (Editor)
Publisher finelybook 出版社: Cambridge University Press (25 Nov. 2021)
Language 语言: English
Print Length 页数: 274 pages
ISBN-10: 1108490573
ISBN-13: 9781108490573
Book Description
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.
