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    <abstract>This paper describes a crowdsourcing experiment on the annotation of plot-like structures in English news articles. CrowdThruth methodology and metrics have been applied to select valid annotations from the crowd. We further run an in-depth analysis of the annotated data by comparing them with available expert data. Our results show a valuable use of crowdsourcing annotations for such complex semantic tasks, and suggest a new annotation approach which combine crowd and experts.</abstract>
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%0 Conference Proceedings
%T Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation Annotation
%A Caselli, Tommaso
%A Inel, Oana
%Y Caselli, Tommaso
%Y Miller, Ben
%Y van Erp, Marieke
%Y Vossen, Piek
%Y Palmer, Martha
%Y Hovy, Eduard
%Y Mitamura, Teruko
%Y Caswell, David
%Y Brown, Susan W.
%Y Bonial, Claire
%S Proceedings of the Workshop Events and Stories in the News 2018
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico, U.S.A
%F caselli-inel-2018-crowdsourcing
%X This paper describes a crowdsourcing experiment on the annotation of plot-like structures in English news articles. CrowdThruth methodology and metrics have been applied to select valid annotations from the crowd. We further run an in-depth analysis of the annotated data by comparing them with available expert data. Our results show a valuable use of crowdsourcing annotations for such complex semantic tasks, and suggest a new annotation approach which combine crowd and experts.
%U https://aclanthology.org/W18-4306
%P 44-54

Markdown (Informal)

[Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation Annotation](https://aclanthology.org/W18-4306) (Caselli & Inel, EventStory 2018)

• Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation Annotation (Caselli & Inel, EventStory 2018)

ACL

• Tommaso Caselli and Oana Inel. 2018. Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation Annotation. In Proceedings of the Workshop Events and Stories in the News 2018, pages 44–54, Santa Fe, New Mexico, U.S.A. Association for Computational Linguistics.