Print Email Facebook Twitter A Survey of Crowdsourcing Methods for Commonsense Knowledge Collection Title A Survey of Crowdsourcing Methods for Commonsense Knowledge Collection Author Renţea, Ilinca (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor He, G. (mentor) Gadiraju, Ujwal (mentor) Yang, J. (mentor) Houben, G.J.P.M. (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2022-06-24 Abstract Commonsense knowledge is information that all humans own and use to interpret common situations and react to them accordingly. This kind of information is necessary for the training of artificial intelligence models to reach a performance as close as possible to human performance. Researchers have developed methods that use crowdsourcing to collect this kind of knowledge from the general public. This research focuses on systematically surveying the existing literature about these methods. We created a taxonomy to describe and compare the existing work based on the following three measures that were the most common ones reported: efficiency, cost, and quality. Subject CrowdsourcingCommonsense KnowledgeSurveyEfficiencyCostQualityGWAPKnowledge Acquisition System To reference this document use: http://resolver.tudelft.nl/uuid:c3cecc45-dede-4db7-8396-123fbc204931 Part of collection Student theses Document type bachelor thesis Rights © 2022 Ilinca Renţea Files PDF Ilinca_Elena_Ioana_Rentea ... _Paper.pdf 234.69 KB Close viewer /islandora/object/uuid:c3cecc45-dede-4db7-8396-123fbc204931/datastream/OBJ/view