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Crowdsourcing Strategies for Text Creation Tasks


We examine deployment strategies for text translation and text summarization tasks. We formalize a deployment strategy along three dimensions: work structure, workforce organization , and work style. Work structure can be either simultaneous or sequential, workforce organization independent or collaborative, and work style either crowd-only or hybrid. We use Amazon Mechanical Turk to evaluate the cost, latency, and quality of various deployment strategies. We asses our strategies for different scenarios: short/long text, presence/absence of an outline, and popular/unpopular topics. Our findings serve as a basis to automate the deployment of text creation tasks.
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hal-02000656 , version 1 (31-01-2019)



Ria Mae Borromeo, Maha Alsayasneh, Sihem Amer-Yahia, Vincent Leroy. Crowdsourcing Strategies for Text Creation Tasks. Inter- national Conference on Extending Database Technology (EDBT), Mar 2017, Venise, Italy. ⟨10.5441/002/edbt.2017.42⟩. ⟨hal-02000656⟩
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