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Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding., , , , , , , , , and 10 other author(s). LREC/COLING, page 3654-3665. ELRA and ICCL, (2024)Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis., , , and . INLG, page 176-195. Association for Computational Linguistics, (2023)From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI., , , , , , , , and . CoRR, (2022)From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI., , , , , , , , and . ACM Comput. Surv., 55 (13s): 295:1-295:42 (2023)Recommending Users: Whom to Follow on Federated Social Networks., , and . CoRR, (2018)InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification., , , , , , , and . CoRR, (2024)Identifying Unclear Questions in Community Question Answering Websites., and . ECIR (1), volume 11437 of Lecture Notes in Computer Science, page 276-289. Springer, (2019)Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records., , , and . Future Internet, 13 (5): 136 (2021)FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence., , , , , , , and . CoRR, (2024)Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records., , , and . HSDM@WSDM, volume 2551 of CEUR Workshop Proceedings, page 3-11. CEUR-WS.org, (2020)