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Comparing Bayesian Models of Annotation

Paun, S., Carpenter, B., Chamberlain, J. D., Hovy, D., Kruschwitz, Udo and Poesio, Massimo (2018) Comparing Bayesian Models of Annotation. Transactions of the Association for Computational Linguistics 6, pp. 571-585.

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Date of publication of this fulltext: 11 Jun 2019 09:37

at publisher (via DOI)

Other URL: https://doi.org/10.1162/tacl_a_00040


Abstract

Crowdsourcing has revolutionised the way tasks can be completed but the process is frequently inefficient, costing practitioners time and money. This research investigates whether crowdsourcing can be optimised with a validation process, as measured by four criteria: quality; cost; noise; and speed. A validation model is described, simulated and tested on real data from an online crowdsourcing ...

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Item type:Article
Date:2018
Institutions:Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Informationswissenschaft
Identification Number:
ValueType
10.1162/tacl_a_00040DOI
Dewey Decimal Classification:000 Computer science, information & general works > 020 Library & information sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Unknown
Item ID:40304
Owner only: item control page

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