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 |
Grant number: |
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