AI in de klas: Taaltechnologie, ethiek en privacy onder de loep
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Cynthia Van Hee
Cynthia Van Hee is a lecturer and postdoctoral researcher at Ghent University, affiliated with the LT3 Language and Translation Technology Team. Her work as a postdoc centers on computational linguistics and machine learning, with a focus on sentiment analysis, irony detection, and linguistic preprocessing. She teaches several courses related to language technology, including Data Processing with Python and Natural Language Processing, as part of the Applied Linguistics programme and the Computer-Assisted Language Technology postgraduate.
Veronique Hoste is Senior Full Professor of Computational Linguistics at the Faculty of Arts and Philisophy at Ghent University. She is department head of the Department of Translation, Interpreting and Communication and director of the LT3 language and translation team at the same department. She holds a PhD in computational linguistics from the University of Antwerp (Belgium) on "Optimization issues in machine learning of coreference resolution" (2005).
Natural language processing in the last decades has drastically shifted from a discipline in which linguistic rules were handcrafted by experts to a vibrant discipline heavily dominated by machine learning and more recently, end-to-end neural approaches. Véronique has a strong track record in combining linguistic expertise with machine learning of natural language, seeking to automatically model natural language up to the level of semantics and discourse in a wide range of applications, such as cyberbully detection or sentiment and emotion analysis.