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Balayn, A.M.A. (author), Yang, J. (author), Szlávik, Zoltán (author), Bozzon, A. (author)The automatic detection of conflictual languages (harmful, aggressive, abusive, and offensive languages) is essential to provide a healthy conversation environment on the Web. To design and develop detection systems that are capable of achieving satisfactory performance, a thorough understanding of the nature and properties of the targeted type...journal article 2021
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Krivosheev, Evgeny (author), Sayin, Burcu (author), Bozzon, A. (author), Szlávik, Z. (author)In this paper, we explore how to efficiently combine crowdsourcing and machine intelligence for the problem of document screening, where we need to screen documents with a set of machine-learning filters. Specifically, we focus on building a set of machine learning classifiers that evaluate documents, and then screen them efficiently. It is a...journal article 2020
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Afentoulidis, G. (author), Szlávik, Z. (author), Yang, J. (author), Bozzon, A. (author)Enterprise crowdsourcing capitalises on the availability of employees for in-house data processing. Gamification techniques can help aligning employees' motivation to the crowdsourcing endeavour. Although hitherto, research efforts were able to unravel the wide arsenal of gamification techniques to construct engagement loops, little research has...conference paper 2018
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Balayn, A.M.A. (author), Mavridis, P. (author), Bozzon, A. (author), Timmermans, B.F.L. (author), Szlávik, Z. (author)Training machine learning (ML) models for natural language processing usually requires large amount of data, often acquired through crowdsourcing. The way this data is collected and aggregated can have an effect on the outputs of the trained model such as ignoring the labels which differ from the majority. In this paper we investigate how label...conference paper 2018