LayerFolding : Discovering Creative Links in Word Association Networks

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http://hdl.handle.net/10138/163216

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Xiao , P & Toivonen , H T T 2016 , LayerFolding : Discovering Creative Links in Word Association Networks . in SAC '16 Proceedings of the 31st Annual ACM Symposium on Applied Computing . ACM, Association for Computing Machinery , New York, NY , pp. 894-897 , ACM Symposium on Applied Computing , Pisa , Italy , 04/04/2016 . https://doi.org/10.1145/2851613.2851883

Title: LayerFolding : Discovering Creative Links in Word Association Networks
Author: Xiao, Ping; Toivonen, Hannu Tauno Tapani
Contributor organization: Department of Computer Science
Helsinki Institute for Information Technology
Discovery Research Group/Prof. Hannu Toivonen
Finnish Centre of Excellence in Algorithmic Data Analysis Research (Algodan)
Publisher: ACM, Association for Computing Machinery
Date: 2016-04-04
Language: eng
Number of pages: 4
Belongs to series: SAC '16 Proceedings of the 31st Annual ACM Symposium on Applied Computing
ISBN: 978-1-4503-3739-7
DOI: https://doi.org/10.1145/2851613.2851883
URI: http://hdl.handle.net/10138/163216
Abstract: A frequent challenge in creative tasks such as advertising is finding novel and concrete representations of abstract concepts. We cast this problem as finding, in word association networks, the relevant indirect associations of a given node. We propose a novel approach, LayerFolding, which selects nodes at increasing distances from the given node, according to their relatedness to it. The relatedness is calculated based on the shortest paths that are potentially coherent. In a test against a small set of visual representations of abstract concepts found in real advertisements, LayerFolding provides a 79\% recall, and outperforms other two popular semantic relatedness measures.
Subject: 113 Computer and information sciences
Peer reviewed: Yes
Rights: other
Usage restriction: openAccess
Self-archived version: publishedVersion
Funder: European Commission /7th Framework Programme
European Commission /7th Framework Programme
SUOMEN AKATEMIA
SUOMEN AKATEMIA
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