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Ulrike Padó
Zeitschriftenartikel
- P. Lange, P. Kurrle und U. Pado. Prädiktionsgüte der Rückfederung in der Blechbearbeitung. WT Werkstattstechnik Bd. 114(3). 2024
- U.Pado, Y. Eryilmaz und L. Kirschner, Short-Answer Grading for German: Addressing the Challenges. Int J Artif Intell Educ. 2023.
- U. Pado und S. Pado, Determinants of Grader Agreement: An Analysis of Multiple Short-Answer Corpora. Language Resources and Evaluation. 2021.
- U.Pado, Freitextfragen digital. Bewertung und Bewerterunterstützung im Bereich der educational applications. Themenheft "Prüfungsformate". Hrsg. Torsten Mergen. Mitteilungen des Deutschen Germanistenvereins, 67(2), 211-222. 2020. Auf Einladung des Herausgebers.
- C. Kiefer und U. Pado, Freitextaufgaben in Online-Tests: Bewertung und Bewertungsunterstützung. HMD Praxis der Wirtschaftsinformatik, 52(1), 96-107. 2015. (.pdf, pre-final version)
- K. Erk, S. Pado und U. Pado, A Flexible, Corpus-driven Model of Regular and Inverse Selectional Preferences. Computational Linguistics, 36(4), 723-763. 2010. (.pdf)
- U. Pado, M. Crocker und F. Keller, A Probabilistic Model of Semantic Plausibility in Sentence Processing. Cognitive Science 33, pp. 794-838. 2009. (.pdf, pre-final draft)
Buchkapitel
- Pado, U., Knebusch, A., Mehmedovski, K. (2025). Computer-Based Methods for Adaptive Teaching and Learning. In: Vendrell Vidal, E., Cukierman, U.R., Auer, M.E. (Hrsg.) Advanced Technologies and the University of the Future. Lecture Notes in Networks and Systems, Bd. 1140. Springer, Cham. https://doi.org/10.1007/978-3-031-71530-3_19. Online seit dem 17.12.2024
Konferenz- und Workshop-Publikationen
- B. Pampel, S. Martin und U. Pado, From Capable to Trustworthy: Empowering Educators to Build Reliable AI Chatbots with Retrieval-Augmented Generation In 17th International Conference (CSEDU 2025), Revised Selected Papers. Springer LNCS. to appear.
- U. Pado, Hybrid Evaluation of Tutor Dialogues. In Proceedings of the 22 Conference on Intelligent Tutoring Systems. LNCS, Springer Nature, 2026, to appear.
- U. Pado, HFT at BEA 2026 Shared Task 2: Blunt-Edge Models for Hybrid Grading. In Proceedings of the
21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026) at ACL, San Diego. Association for Computational Linguistics, 2026, to appear.
- U. Pado und B. Pampel, Linguistics to LLMs: Teaching with and about Chatbots. Proceedings of the 7th Workshop on Teaching Natural Language Processing (TeachNLP 2026). Rabat, Morocco. 2026. Audience Award.
- U. Pado, K. Mehmedovski und A. Knebusch, Turning CAT into MOUSE: Adaptive Mechanisms in Student Exercise Selection. Proceedings of 2025 6th AIET, München, https://doi.org//10.1007/978-981-95-4423-3_13, 2026.
- B. Pampel, S. Martin and U.Pado, Regaining Control: Enabling Educators to Build Specialized AI Chat Bots with Retrieval Augmented Generation. In Proceedings of the 17th International Confefrence on Computer Supported Education - Volume 2: CSEDU, Porto. https://doi.org/10.5220/0013425500003932, 2025
- A. Knebusch und U. Pado, Working at Your Own Pace: Computer-based Learning for CL. KONVENS, Ingolstadt, 2023
- N. Willms und U. Pado, A Transformer for SAG: What Does it Grade?. NLP4CALL, Leuven, 2022
- U.Pado, Assessing the Practical Benefit of Automated Short-Answer Graders. AIEDProceedings Vol. 2, p.555-559. 2022
- M. Mieskes and U. Pado, Summarization Evaluation meets Short-Answer Grading. NLP4CALL, Turku, 2019 (.pdf)
- M. Mieskes und U. Pado, Work Smart - Reducing Effort in Short-Answer Grading. NLP4CALL at SLTC, Stockholm, 2018 (.pdf)
- U. Pado, Question Difficulty - How to Estimate Without Norming, How to Use for Automated Grading. BEA-12 auf der EMNLP, Kopenhagen, 2017 (.pdf)
- U. Pado, Get Semantic With Me! The Usefulness of Different Feature Types for Short-Answer Grading. COLING, Osaka, 2016 (.pdf)
- U. Pado und C. Kiefer, Short Answer Grading: When Sorting Helps and When it Doesn't. 4th NLP4CALL workshop, Nodalida, Wilna, 2015 (.pdf)
- N. Ortiz Suarez, J. Lemcke und U. Pado, Labelling Business Entities in a Canonical Data Model, KONVENS, Hildesheim, 2014 (.pdf)
- J. Bernstein, M. Suzuki, J. Cheng und U. Pado, Evaluating Diglossic Aspects of an Automated Test of Spoken Modern Standard Arabic. SLaTE 2009, Birmingham, UK, 2009 (.pdf)
- J. Cheng, J. Bernstein, U. Pado und M. Suzuki, Automatic Assessment of Spoken Modern Standard Arabic. 4th Workshop on Innovative Use of NLP for Building Educational Applications, NAACL-HLT, Boulder, CO, 2009. (.pdf)
- S. Pado, U. Pado und K. Erk, Flexible, Corpus-Based Modelling of Human Plausibility Judgements. EMNLP, Prag, 2007. (.pdf)
- U. Pado, M. Crocker und F.Keller, Modelling Semantic Role Plausibility in Human Sentence Processing. EACL, Trento, 2006 (.pdf).
- U. Pado, F. Keller und M. Crocker, Combining Syntax and Thematic Fit in a Probabilistic Model of Sentence Processing. CogSci, Vancouver, 2006. (.pdf)
- U. Baldewein, K. Erk, S. Pado und D. Prescher, Semantic Role Labeling with Chunk Sequences. CoNLL-2004, Boston, MA, 2004. (.ps.gz)
- U. Baldewein, K. Erk, S. Pado und D. Prescher, Semantic Role Labelling With Similarity-Based Generalisation Using EM-based Clustering. SENSEVAL-3, Barcelona, 2004. (.ps.gz)
- U. Baldewein und F. Keller, Modelling Attachment Decisions with a Probabilistic Parser: The Case of Head-Final Structures. CogSci, Chicago, IL, 2004. (.ps.gz)
Konferenz- und Workshop-Vorträge
- U. Pado, Adaptive Exercise Selection - Adaptivity in Project KNIGHT. Workshop "Adaptive Learning in Higher Education", Universität Ulm, 2025.
- U. Pado, Computer-Adaptive Testing Approaches for Exercise Selection - 3rd Workshop on Technology-Based Assessment, IWM Universität Tübingen, 2025.
Doktorarbeit