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dc.contributor.author
Zhang, Yeyao
dc.contributor.author
Tsipidi, Eleftheria
dc.contributor.author
Schriber, Sasha
dc.contributor.author
Kapadia, Mubbasir
dc.contributor.author
Gross, Markus
dc.contributor.author
Modi, Ashutosh
dc.contributor.editor
Mihalcea, Rada
dc.contributor.editor
Shutova, Ekaterina
dc.contributor.editor
Ku, Lun-Wei
dc.contributor.editor
Evang, Kilian
dc.contributor.editor
Poria, Soujanya
dc.date.accessioned
2023-10-23T10:06:00Z
dc.date.available
2020-01-24T15:56:16Z
dc.date.available
2020-01-27T14:54:48Z
dc.date.available
2023-10-23T10:06:00Z
dc.date.issued
2019-06
dc.identifier.isbn
978-1-948087-93-3
en_US
dc.identifier.other
10.18653/v1/s19-1032
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/393920
dc.identifier.doi
10.3929/ethz-b-000393920
dc.description.abstract
Automatically generating animation from natural language text finds application in a number of areas e.g. movie script writing, instructional videos, and public safety. However, translating natural language text into animation is a challenging task. Existing text-to-animation systems can handle only very simple sentences, which limits their applications. In this paper, we develop a text-to-animation system which is capable of handling complex sentences. We achieve this by introducing a text simplification step into the process. Building on an existing animation generation system for screenwriting, we create a robust NLP pipeline to extract information from screenplays and map them to the system’s knowledge base. We develop a set of linguistic transformation rules that simplify complex sentences. Information extracted from the simplified sentences is used to generate a rough storyboard and video depicting the text. Our sentence simplification module outperforms existing systems in terms of BLEU and SARI metrics.We further evaluated our system via a user study: 68% participants believe that our system generates reasonable animation from input screenplays.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Association for Computational Linguistics
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
Generating Animations from Screenplays
en_US
dc.type
Conference Paper
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.book.title
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)
en_US
ethz.pages.start
292
en_US
ethz.pages.end
307
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
8th Joint Conference on Lexical and Computational Semantics (*SEM 2019)
en_US
ethz.publication.place
Stroudsburg, PA
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02659 - Institut für Visual Computing / Institute for Visual Computing::03420 - Gross, Markus / Gross, Markus
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02659 - Institut für Visual Computing / Institute for Visual Computing::03420 - Gross, Markus / Gross, Markus
en_US
ethz.date.deposited
2020-01-24T15:56:23Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-01-27T14:54:59Z
ethz.rosetta.lastUpdated
2024-02-03T05:29:17Z
ethz.rosetta.versionExported
true
ethz.COinS
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