Open AccessEffect of Label Redundancy in Crowdsourcing for Training Machine Learning Models
Author(s) -
Ayame Shimizu,
Kei Wakabayash
Publication year - 2022
Publication title -
journal of data intelligence
Language(s) - English
Resource type - Journals
ISSN - 2577-610X
DOI - 10.26421/jdi3.3-1
Subject(s) - crowdsourcing , computer science , machine learning , redundancy (engineering) , artificial intelligence , task (project management) , quality (philosophy) , training set , annotation , natural language processing , engineering , world wide web , operating system , philosophy , systems engineering , epistemology
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