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25498 Using Crowdsourcing to Investigate Perception of Narrative Similarity
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Nguyen, Dong-Phuong and Trieschnigg, R.B. and Theune, M. (2014) Using Crowdsourcing to Investigate Perception of Narrative Similarity. In: Proceedings of the 23rd ACM International Conference on Information and Knowledge Management, CIKM 2014, 3-7 Nov 2014, Shanghai, China. pp. 321-330. ACM. ISBN 978-1-4503-2598-1

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Official URL: http://doi.acm.org/10.1145/2661829.2661918

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Abstract

For many applications measuring the similarity between documents is essential. However, little is known about how users perceive similarity between documents. This paper presents the first large-scale empirical study that investigates perception of narrative similarity using crowdsourcing. As a dataset we use a large collection of Dutch folk narratives. We study the perception of narrative similarity by both experts and non-experts by analyzing their similarity ratings and motivations for these ratings. While experts focus mostly on the plot, characters and themes of narratives, non-experts also pay attention to dimensions such as genre and style. Our results show that a more nuanced view is needed of narrative similarity than captured by story types, a concept used by scholars to group similar folk narratives. We also evaluate to what extent unsupervised and supervised models correspond with how humans perceive narrative similarity.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-HMI: Human Media Interaction
Research Program:CTIT-NICE: Natural Interaction in Computer-mediated Environments
Research Project:FACT: Folktales As Classifiable Texts
Uncontrolled Keywords:crowdsourcing, folktales, narratives, similarity
ID Code:25498
Status:Published
Deposited On:26 January 2015
Refereed:Yes
International:Yes
More Information:statisticsmetis

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