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On the effect of relevance scales in crowdsourcing relevance assessments for Information Retrieval evaluation., , , и . Inf. Process. Manag., 58 (6): 102688 (2021)QROWD---A Platform for Integrating Citizens in Smart City Data Analytics, , , , , , , , , и 8 other автор(ы). стр. 285--321. Springer International Publishing, Cham, (2023)Let's Agree to Disagree: Fixing Agreement Measures for Crowdsourcing., , , , и . HCOMP, стр. 11-20. AAAI Press, (2017)IRevalOO: An Object Oriented Framework for Retrieval Evaluation., , , и . SIGIR, стр. 913-916. ACM, (2018)The Axiometrics Project., и . IIR, том 1127 из CEUR Workshop Proceedings, стр. 11-15. CEUR-WS.org, (2014)Fact-Checking at Scale with Crowdsourcing: Experiments and Lessons Learned., , , , и . IIR, том 3448 из CEUR Workshop Proceedings, стр. 85-90. CEUR-WS.org, (2023)Point at the Triple: Generation of Text Summaries from Knowledge Base Triples (Extended Abstract)., , , и . IJCAI, стр. 5080-5084. ijcai.org, (2020)Journal track.Crowdsourcing Relevance: Two Studies on Assessment.. University of Udine, Italy, (2017)Do Easy Topics Predict Effectiveness Better Than Difficult Topics?, , и . ECIR, том 10193 из Lecture Notes in Computer Science, стр. 605-611. (2017)Judging Relevance Using Magnitude Estimation., , , и . ECIR, том 9022 из Lecture Notes in Computer Science, стр. 215-220. (2015)