Computational analysis of storylines: making sense of events
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 narr...
Gespeichert in:
| Weitere beteiligte Personen: | , , , |
|---|---|
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2021
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| Schriftenreihe: | Studies in natural language processing
|
| Links: | https://doi.org/10.1017/9781108854221 |
| Zusammenfassung: | 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. |
| Umfang: | 1 Online-Ressource (xiv, 260 Seiten) |
| ISBN: | 9781108854221 |
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| spelling | Computational analysis of storylines making sense of events edited by Tommaso Caselli, Eduard Hovy, Martha Palmer, Piek Vossen Cambridge Cambridge University Press 2021 1 Online-Ressource (xiv, 260 Seiten) txt c cr Studies in natural language processing 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. Caselli, Tommaso 1980- Hovy, Eduard H. Palmer, Martha Stone Vossen, Piek Erscheint auch als Druck-Ausgabe 9781108490573 |
| spellingShingle | Computational analysis of storylines making sense of events |
| title | Computational analysis of storylines making sense of events |
| title_auth | Computational analysis of storylines making sense of events |
| title_exact_search | Computational analysis of storylines making sense of events |
| title_full | Computational analysis of storylines making sense of events edited by Tommaso Caselli, Eduard Hovy, Martha Palmer, Piek Vossen |
| title_fullStr | Computational analysis of storylines making sense of events edited by Tommaso Caselli, Eduard Hovy, Martha Palmer, Piek Vossen |
| title_full_unstemmed | Computational analysis of storylines making sense of events edited by Tommaso Caselli, Eduard Hovy, Martha Palmer, Piek Vossen |
| title_short | Computational analysis of storylines |
| title_sort | computational analysis of storylines making sense of events |
| title_sub | making sense of events |
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