PhD Candidate @ VU on Diversity in News Recommender Systems: Computational Linguistics, Machine Learning, and Text Mining in Complex Domains. Contact email: myrthe[dot]reuver[at]vu[dot]nl
Myrthe Reuver, Antske Fokkens, Suzan Verberne. In: Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation (co-located at EACL 2021, online). Association of Computational Linguistics, p. 45–55
This blog post describes my experiences at the Nordic HPLT Winter school - with also the very exciting panel “Is the End of Academic NLP Research in Sight?”
Published in KB Lab:The Hague, the Netherlands.', 2019
‘Brandsen, A., Kleppe, M., Veldhoen, S., Zijdeman, R., Huurman, H., Vos, H. De, Goes, K., Huang, L., Kim, A., Mesbah, S.,Reuver, M./, Wang, S., Hendrickx, I. (2019). "Brinkeys.." KB Lab:The Hague, the Netherlands.’
Published in Digital Methods Wiki, UvA Summerschool', 2019
Anthony Burton, Elena Aversa, Alessandra Facchin, Ivana Emily Škoro, Henri Mütschele, Shenglang Qing, Myrthe Reuver. (2019). "Streams of the Deep Web: Rebel Media, YouTube, and the algorithmic shaping of media ecosystems." Digital Methods Wiki, UvA Summerschool
Published in Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation (co-located at EACL online), 2021
Myrthe Reuver, Nicolas Mattis. (2021). “Implementing Evaluation Metrics Based on Theories of Democracy in News Comment Recommendation (Hackathon Report)” In: Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation (co-located at EACL 2021, online). Association of Computational Linguistics, p. 134–139.
Published in Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation (co-located at EACL online), 2021
Myrthe Reuver, Antske Fokkens, Suzan Verberne. (2021). “No NLP Task Should be an Island: Multi-disciplinarity for Diversity in News Recommender Systems’ In: Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation (co-located at EACL 2021, online). Association of Computational Linguistics, p. 45–55.
A talk on my project for the BA Honours programme, a Text Mining project on the works by 10th century Old English author Ælfric, presented at student conference StuTs.
I presented my work on an error elicitation experiment in L2 English by native speakers of Portuguese, which was a project I did for the “Syntax-Semantics Interface” course in my ResMA.
This was my first peer-reviewed abstract, which I wrote on my internship project at the Meertens Institute in Amsterdam on the classification of urban legends. The Digital Humanities conference in Liège was a nice conclusion to my research internship. The published extended abstract of my research project can be read here.
A presentation for other graduate students (ReMA and PhD) in the faculty of Arts. My talk focussed on the demo for the urban legend project (my research internship) and was also an explanation of machine learning, especially text classification, to non-experts.
This was a poster presentation at CLIN (Computational Linguistics in the Netherlands) 30 at Utrecht University in Utrecht on my urban legends internship project at the Meertens Institute in Amsterdam. Poster can be seen here
I was invited by course instructors (prof. dr. Martha Larson & dr. Iris Hendrickx) to talk in the MA/MSc “Text Mining” course in the MSc Data Science and the ResMA Linguistics. My talk was about my ResMA thesis on smoking status classification in EMRs (done at IT company Topicus). Note: I have given very similar talks at both my thesis company (Topicus) and during my (online) thesis defense. Slides can be found here.
Undergraduate course, BA Communication & Information Sciences and BA Linguistics, Radboud University, 2018
A course on the basics of information science, including the basics of information theory, information retrieval, recommender systems, and the workings, ethics, and evaluation of intelligent information tools such as spell checkers and plagiarism scanners. My task as a Teaching Assistant (from 2017 until 2020) under prof. dr. Martha Larson (and later dr. Hans van Halteren) was to assist in designing assignments, seminars, and the syllabus as well as grading assignments and teaching the seminars. Additionally, I sometimes lectured on topics related to (computational) linguistics.
