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Myrthe Reuver is a computational linguist. Her PhD project is about automatically analyzing (topic and viewpoint) diversity in news recommender systems. She intends to use language models: large, often pre-trained models used to represent language and especially semantic information in language. She is supervised by dr. Antske Fokkens (connected to CLTL at the Free University of Amsterdam) and dr. Suzan Verberne (connected to LIACS at Leiden University).

Myrthe completed a Master of Science in Cognitive Science and Artificial Intelligence at Tilburg University and also studied at Radboud University for a Research Master's in Linguistics with a specialization in Language and Speech Technology.

Her MSc and ResMA thesis projects concern clinical Natural Language Processing at IT company Topicus. Myrthe also has experience with cultural data, obtained during an internship at the Meertens Institute. She also was co-founder and editor-in-chief of Radboud Univeristy's peer-reviewed student linguistics journal RU:ts.

She has experience with machine learning, artificial intelligence, natural language processing, text mining, and data mining.

Feel free to contact her with any ideas or comments about previous or current research!

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