Jan Trienes

Hi there, I'm Jan Trienes, a PhD student of computer science at the University of Duisburg-Essen, supervised by Prof. Christin Seifert. My research interests include natural language processing and information retrieval. For my PhD research, I focus on text simplification for clinical notes. I am part of the Institute for Artificial Intelligence in Medicine at the University Hospital Essen.

For the fall semester of 2023, I am visiting the University of Texas at Austin to work with Jessy Li on factuality and analysis of medical text simplifications. Prior to my PhD, I worked as machine learning engineer at Nedap Healthcare. During my master studies at the University of Twente, I did a research internship at the University of Stavanger, visiting Prof. Krisztian Balog.





Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis
Jan Trienes, Paul Youssef, Jörg Schlötterer, Christin Seifert
16th International Natural Language Generation Conference (INLG), 2023, ⭐ Nomination for Best Evaluation Award
[pdf] [code] [slides]

From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
ACM Computing Surveys (CSUR), 2023

Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset
Jan Trienes, Jörg Schlötterer, Hans-Ulrich Schildhaus, Christin Seifert
EMNLP Workshop on Text Simplification, Accessibility, and Readability (TSAR), 2022
[pdf] [code] [slides] [poster]

Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records
Claudia A. Libbi, Jan Trienes, Dolf Trieschnigg, Christin Seifert
Future Internet, 13(5):136, 2021
[pdf] [code]

Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records
Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra
1st ACM WSDM Health Search and Data Mining Workshop (HSDM’20), 2020, ⭐ Best Paper Award
[pdf] [code] [slides]

Identifying Unclear Questions in Community Question Answering Websites
Jan Trienes, Krisztian Balog
41st European Conference on Information Retrieval (ECIR’19), 2019
[pdf] [code]

Recommending Users: Whom to Follow on Federated Social Networks
Jan Trienes, Andrés Torres Cano, Djoerd Hiemstra
17th Dutch-Belgian Information Retrieval Workshop (DIR’18), 2018