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...
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| Other Authors: | , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2021
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| Series: | Studies in natural language processing
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| Subjects: | |
| Online Access: | BSB01 TUM01 UBG01 Volltext |
| Summary: | 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 |
| Item Description: | Title from publisher's bibliographic system (viewed on 08 Nov 2021) |
| Physical Description: | 1 Online-Ressource (xiv, 260 Seiten) |
| ISBN: | 9781108854221 |
| DOI: | 10.1017/9781108854221 |
Staff View
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| id | DE-604.BV047660995 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:52:32Z |
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| institution | BVB |
| isbn | 9781108854221 |
| language | English |
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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 rdacontent c rdamedia cr rdacarrier Studies in natural language processing Title from publisher's bibliographic system (viewed on 08 Nov 2021) 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 Discourse analysis, Narrative Natural language processing (Computer science) Narration (Rhetoric) / Data processing Caselli, Tommaso 1980- (DE-588)124893346X edt Hovy, Eduard 1956- (DE-588)1248933796 edt Palmer, Martha 1951- (DE-588)1157293328 edt Vossen, Piek 1960- (DE-588)1089229062 edt Erscheint auch als Druck-Ausgabe 978-1-108-49057-3 https://doi.org/10.1017/9781108854221 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Computational analysis of storylines making sense of events Discourse analysis, Narrative Natural language processing (Computer science) Narration (Rhetoric) / Data processing |
| 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_exact_search_txtP | 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 |
| topic | Discourse analysis, Narrative Natural language processing (Computer science) Narration (Rhetoric) / Data processing |
| topic_facet | Discourse analysis, Narrative Natural language processing (Computer science) Narration (Rhetoric) / Data processing |
| url | https://doi.org/10.1017/9781108854221 |
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