Active crowdsourcing for annotation

• Main Authors: HAO, Shuji, MIAO, Chunyan, HOI, Steven C. H., ZHAO, Peilin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Active Learning; Crowdsourcing; Online Learning; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/3173; https://ink.library.smu.edu.sg/context/sis_research/article/4174/viewcontent/Active_Crowdsourcing_for_Annotation_accepted.pdf
• Institution: Singapore Management University

Crowdsourcing has shown great potential in obtaining large-scale and cheap labels for different tasks. However, obtaining reliable labels is challenging due to several reasons, such as noisy annotators, limited budget and so on. The state-of-the-art approaches, either suffer in some noisy scenarios,...