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Journal Articles
- 2023
[j2]Meike Nauta
, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert:
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. ACM Comput. Surv. 55(13s): 295:1-295:42 (2023)- 2021
- [j1]Claudia Alessandra Libbi, Jan Trienes, Dolf Trieschnigg, Christin Seifert:
Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records. Future Internet 13(5): 136 (2021)
Conference and Workshop Papers
- 2024
- [c6]Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li:
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification. ACL (1) 2024: 4263-4294 - [c5]Sebastian Joseph, Lily Chen, Jan Trienes, Hannah Louisa Göke, Monika Coers, Wei Xu, Byron C. Wallace, Junyi Jessy Li:
FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence. ACL (1) 2024: 8437-8464 - [c4]Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich:
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. LREC/COLING 2024: 3654-3665 - 2023
- [c3]Jan Trienes, Paul Youssef, Jörg Schlötterer, Christin Seifert:
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis. INLG 2023: 176-195 - 2020
- [c2]Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra:
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. HSDM@WSDM 2020: 3-11 - 2019
- [c1]Jan Trienes, Krisztian Balog:
Identifying Unclear Questions in Community Question Answering Websites. ECIR (1) 2019: 276-289
Informal and Other Publications
- 2024
- [i8]Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li:
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification. CoRR abs/2401.16475 (2024) - [i7]Sebastian Antony Joseph, Lily Chen, Jan Trienes, Hannah Louisa Göke, Monika Coers, Wei Xu, Byron C. Wallace, Junyi Jessy Li:
FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence. CoRR abs/2402.11456 (2024) - [i6]Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich:
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. CoRR abs/2404.05694 (2024) - 2023
- [i5]Jan Trienes, Paul Youssef, Jörg Schlötterer, Christin Seifert:
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis. CoRR abs/2307.12803 (2023) - 2022
- [i4]Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert:
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. CoRR abs/2201.08164 (2022) - 2020
- [i3]Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra:
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. CoRR abs/2001.05714 (2020) - 2019
- [i2]Jan Trienes, Krisztian Balog:
Identifying Unclear Questions in Community Question Answering Websites. CoRR abs/1901.06168 (2019) - 2018
- [i1]Jan Trienes, Andrés Torres Cano, Djoerd Hiemstra:
Recommending Users: Whom to Follow on Federated Social Networks. CoRR abs/1811.09292 (2018)
Coauthor Index
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