Jan Trienes

Cited by

	All	Since 2019
Citations	559	556
h-index	6	6
i10-index	6	6

320

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2020202120222023202414 26 54 142 315

Co-authors

Christin SeifertUniversity of Marburg / Hessian.AIVerified email at uni-marburg.de
Jörg SchlöttererUniversity of Marburg / Hessian.AI; University of MannheimVerified email at uni-marburg.de
Meike NautaDatacation, TU EindhovenVerified email at tue.nl
Shreyasi PathakPhD candidate, University of TwenteVerified email at utwente.nl
Elisa NguyenUniversity of TübingenVerified email at uni-tuebingen.de
Maurice van KeulenAdjunct Professor Data Science Robustness, University of TwenteVerified email at utwente.nl
Dolf TrieschniggNedap Healthcare / University of TwenteVerified email at ewi.utwente.nl
Djoerd HiemstraRadboud UniversityVerified email at cs.ru.nl
Krisztian BalogUniversity of Stavanger & Google DeepMindVerified email at uis.no
Byron WallaceAssociate Professor, Northeastern UniversityVerified email at ccs.neu.edu
Junyi Jessy LiAssociate Professor, The University of Texas at AustinVerified email at austin.utexas.edu
Wei "Coco" XuGeorgia Institute of TechnologyVerified email at cc.gatech.edu
Kyle LoAllen Institute for Artificial IntelligenceVerified email at allenai.org
Paul YoussefUniversity of MarburgVerified email at uni-marburg.de

Jan Trienes

University of Marburg

Verified email at uni-marburg.de - Homepage

Machine Learning Natural Language Processing Information Retrieval


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From anecdotal evidence to quantitative evaluation methods: A systematic review on evaluating explainable ai M Nauta, J Trienes, S Pathak, E Nguyen, M Peters, Y Schmitt, ... ACM Computing Surveys 55 (13s), 1-42, 2023	394	2023
Identifying unclear questions in community question answering websites J Trienes, K Balog Advances in Information Retrieval: 41st European Conference on IR Research …, 2019	47	2019
Comparing rule-based, feature-based and deep neural methods for de-identification of dutch medical records J Trienes, D Trieschnigg, C Seifert, D Hiemstra Proceedings of the 1st ACM WSDM Health Search and Data Mining Workshop …, 2020	40	2020
Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records CA Libbi, J Trienes, D Trieschnigg, C Seifert Future Internet 13 (5), 136, 2021	28	2021
Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset J Trienes, J Schlötterer, HU Schildhaus, C Seifert EMNLP 2022 Workshop on Text Simplification, Accessibility, and Readability …, 2022	19	2022
Recommending Users: Whom to Follow on Federated Social Networks J Trienes, AT Cano, D Hiemstra Proceedings of the 17th Dutch-Belgian Information Retrieval Workshop, 2018	18	2018
FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence SA Joseph, L Chen, J Trienes, HL Göke, M Coers, W Xu, BC Wallace, ... arXiv preprint arXiv:2402.11456, 2024	6	2024
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification J Trienes, S Joseph, J Schlötterer, C Seifert, K Lo, W Xu, BC Wallace, ... arXiv preprint arXiv:2401.16475, 2024	4	2024
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding A Idrissi-Yaghir, A Dada, H Schäfer, K Arzideh, G Baldini, J Trienes, ... arXiv preprint arXiv:2404.05694, 2024	3	2024
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis J Trienes, P Youssef, J Schlötterer, C Seifert Proceedings of the 16th International Natural Language Generation Conference …, 2023		2023

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