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Predicting worker disagreement for more effective crowd labeling

, , , and . 2018 IEEE 5th International Conference on Data Science andAdvanced Analytics (DSAA), page 179--188. IEEE, (2018)

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New Features for Sentiment Analysis: Do Sentences Matter?, , , and . SDAD@ECML/PKDD, volume 917 of CEUR Workshop Proceedings, page 5-15. CEUR-WS.org, (2012)Bias in search: Evaluating search results through rank and relevance based measures (Arama platformlarında ön yargı: Arama sonuçlarının sıralama ve ilgililik temelli metrikler ile değerlendirilmesi). Sabancı University, Turkey, (2022)Exploring Large Language Models Capabilities to Explain Decision Trees., , , , , and . HHAI, volume 386 of Frontiers in Artificial Intelligence and Applications, page 64-72. IOS Press, (2024)Predicting worker disagreement for more effective crowd labeling, , , and . 2018 IEEE 5th International Conference on Data Science andAdvanced Analytics (DSAA), page 179--188. IEEE, (2018)SU-Sentilab : A Classification System for Sentiment Analysis in Twitter., , , , and . SemEval@NAACL-HLT, page 471-477. The Association for Computer Linguistics, (2013)A survey on the impact of AI-based recommenders on human behaviours: methodologies, outcomes and future directions., , , , , , , , , and 4 other author(s). CoRR, (2024)#Turki$hTweets: A Benchmark Dataset for Turkish Text Correction., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 4190-4198. Association for Computational Linguistics, (2020)Developing and Maintaining an Ontology for Rehabilitation Robotics., , , and . KEOD, page 389-395. SciTePress, (2012)Explaining Socio-Demographic and Behavioral Patterns of Vaccination Against the Swine Flu (H1N1) Pandemic., , , , and . xAI (2), volume 1902 of Communications in Computer and Information Science, page 621-635. Springer, (2023)The Ethical Impact Assessment of Selling Life Insurance to Titanic Passengers., , and . HHAI Workshops, volume 3456 of CEUR Workshop Proceedings, page 35-50. CEUR-WS.org, (2023)