Using common-sense knowledge in generating stories

A problem with most story generation systems is the lack of an adequately-sized body of knowledge to generate stories from. This paper presents an approach that focuses on providing a large amount of common-sense knowledge to automatic story generators while keeping extensive manual handcrafting of...

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Main Authors:	Yu, Sherie, Ong, Ethel
Format:	text
Published:	Animo Repository 2012
Subjects:	Computer fiction Computational linguistics Digital storytelling Computer Sciences
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/2062
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Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-3061
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:faculty_research-30612021-08-13T00:51:18Z Using common-sense knowledge in generating stories Yu, Sherie Ong, Ethel A problem with most story generation systems is the lack of an adequately-sized body of knowledge to generate stories from. This paper presents an approach that focuses on providing a large amount of common-sense knowledge to automatic story generators while keeping extensive manual handcrafting of knowledge to a minimum. It does so by combining manually-created resources with freely-available common-sense knowledge in machine-readable format for the generation of stories. © 2012 Springer-Verlag. 2012-10-25T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2062 Faculty Research Work Animo Repository Computer fiction Computational linguistics Digital storytelling Computer Sciences
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	Computer fiction Computational linguistics Digital storytelling Computer Sciences
spellingShingle	Computer fiction Computational linguistics Digital storytelling Computer Sciences Yu, Sherie Ong, Ethel Using common-sense knowledge in generating stories
description	A problem with most story generation systems is the lack of an adequately-sized body of knowledge to generate stories from. This paper presents an approach that focuses on providing a large amount of common-sense knowledge to automatic story generators while keeping extensive manual handcrafting of knowledge to a minimum. It does so by combining manually-created resources with freely-available common-sense knowledge in machine-readable format for the generation of stories. © 2012 Springer-Verlag.
format	text
author	Yu, Sherie Ong, Ethel
author_facet	Yu, Sherie Ong, Ethel
author_sort	Yu, Sherie
title	Using common-sense knowledge in generating stories
title_short	Using common-sense knowledge in generating stories
title_full	Using common-sense knowledge in generating stories
title_fullStr	Using common-sense knowledge in generating stories
title_full_unstemmed	Using common-sense knowledge in generating stories
title_sort	using common-sense knowledge in generating stories
publisher	Animo Repository
publishDate	2012
url	https://animorepository.dlsu.edu.ph/faculty_research/2062
_version_	1709757376082477056

Using common-sense knowledge in generating stories

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