We investigate eight elicitation approaches along two dimensions: annotation granularity and estimation perspective. Annotation granularity is varied by ...

Efficient Elicitation Approaches to Estimate Collective Crowd Answers. Proc. ACM Hum.-Comput. Interact. 3, CSCW, Article 62 (November 2019), 25 pages. https ...

This paper investigates eight elicitation approaches along two dimensions: annotation granularity and estimation perspective and makes it more tractable to ...

Oct 22, 2024 · In this paper, we demonstrate that this type of estimation is possible and characterize different elicitation approaches to guide the ...

Our work makes it more tractable to use answer distributions in large-scale tasks such as ML training, and aims to spark future work on techniques that can ...

Efficient elicitation approaches to estimate collective crowd answers ; Publisher: Association for Computing Machinery ; Issue Date: 2019-11 ; Language: English.

Oct 16, 2019 · This post summarizes a research paper that studied how different answer elicitation methods efficiently estimate the distribution of other ...

Jul 31, 2019 · Efficient Elicitation Approaches to Estimate Collective Crowd Answers. less than 1 minute read. Tags: , , , , , crowdsourcing,.

When crowdsourcing the creation of machine learning datasets, statistical distributions that capture diverse answers can represent ambiguous data better ...

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