Hello world! I am Myrthe Reuver, a PhD candidate at CLTL at the Free University of Amsterdam (VU). My research is about news recommender systems and specifically: diversity in news recommender systems. I intend to use Natural Language Processing techniques, such as language models, to automatically measure diversity. I’m supervised by prof. dr. Antske Fokkens (also connected to CLTL) and dr. Suzan Verberne (connected to LIACS at Leiden University).
As a master’s student I specialized in Natural Language Processing, Text Mining, and Machine Learning. I completed the Research Master’s programme “Linguistics and Communication Sciences” (cum laude, with Honours) at Radboud University in Nijmegen and the MSc programme “Cognitive Science and Artificial Intelligence” (with distinction) at Tilburg University in Tilburg. You can download my full CV here.
I wrote my two master thesis projects on Natural Language Processing with clinical text at software company Topicus in Deventer. I was founder and editor-in-chief of Radboud’s student linguistics journal RU:ts, an open-access journal where students are authors, reviewers, and the editorial board. I completed a research internship at the Meertens Institute in Amsterdam on automatic classification of urban legends, and also completed two Honours programmes (a one-year one on AI in Healthcare during my ReMA, and a two-year one on Text Mining during my BA). I love teaching as well, and worked as a Teaching Assistant at Radboud, teaching the seminars for the bachelor course “Information Science”.
I hope to continue doing interesting research in the future, where my interests lie in complex but also practically applicable NLP and text-mining research!
Want to know more about any of my current or past projects? Ask me through email or Twitter. I’m always interested in new ideas or opportunities, so please contact me if you have any!