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Klaar zijn met feminisme?

Published in Raffia Magazine, 2017

Myrthe Reuver. (2017). “Klaar zijn met feminisme?” Raffia Magazine.

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Brinkeys Tool

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.’

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Streams of the Deep Web: Rebel Media, YouTube, and the algorithmic shaping of media ecosystems

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

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Hoe een computer broodjeaapverhalen leert categoriseren.

Published in Vertelcultuur Online, 2019

Myrthe Reuver. (2019) “Hoe een computer broodjeaapverhalen leert categoriseren.” Vertelcultuur Online.

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Implementing Evaluation Metrics Based on Theories of Democracy in News Comment Recommendation (Hackathon Report)

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.

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No NLP Task Should be an Island: Multi-disciplinarity for Diversity in News Recommender Systems

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.

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First-Person Visibility: Ælfrics Pronouns in his Prefaces

Published: November 24, 2017

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.

Whose Gender is It? Possessive Pronoun Errors by Portuguese L2 speakers of English.

Published: April 13, 2019

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.

Amputation or Accident? Classifying Dutch Urban Legends into Story Types with a Hierarchical Classifier

Published: September 13, 2019

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.

Making the Computer Understand Urban Legend Types (And Making Humans Understand the Computer)

Published: October 24, 2019

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.

How Similar are Poodles in the Microwave? Classification of Urban Legend Types

Published: January 30, 2020

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

Finding the Smoke Signal: Smoking Status Extraction & Classification

Published: November 25, 2020

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.

Information Science

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.