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Ulrike Padó
Journal publications
- P. Lange, P. Kurrle and U. Pado. Prädiktionsgüte der Rückfederung in der Blechbearbeitung. WT Werkstattstechnik Bd. 114(3). 2024
- U. Pado, Y. Eryilmaz and L Kirschner, Short-Answer Grading for German: Addressing the Challenges. Int J Artif Intell Educ. 2023.
- U. Pado and 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. Issue "Prüfungsformate". Ed. Torsten Mergen. Mitteilungen des Deutschen Germanistenvereins, 67(2), 211-222. 2020. By invitation from the editor.
- C. Kiefer and 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 and 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 and F. Keller, A Probabilistic Model of Semantic Plausibility in Sentence Processing. Cognitive Science 33, pp. 794-838. 2009. (.pdf, pre-final draft)
Book Chapters
- U. Pado, Hybrid Evaluation of Tutor Dialogues. In Proceedings of the 22nd Conference on Intelligent Tutoring Systems. LNCS, Springer Nature, 2026, to appear.
- 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. (eds) Advanced Technologies and the University of the Future. Lecture Notes in Networks and Systems, vol 1140. Springer, Cham. https://doi.org/10.1007/978-3-031-71530-3_19. Published online 17. Dec. 2024
Conference and workshop publications
- B. Pampel, S. Martin and 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, 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 and 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. Recipient of the Audience Award.
- U. Pado, K. Mehmedovski and A. Knebusch, Turning CAT into MOUSE: Adaptive Mechanisms in Student Exercise Selection. Proceedings of 2025 6th AIET Conference, Munich, 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 and U. Pado, Working at Your Own Pace: Computer-based Learning for CL. KONVENS 2023
- N. Willms and U. Pado, A Transformer for SAG: What Does it Grade?. NLP4CALL, Leuven, 2022
- U. Pado, Assessing the Practical Benefit of Automated Short-Answer Graders. AIED Proceedings Vol.2, p.555-559 2022
- M. Mieskes and U. Pado, Summarization Evaluation meets Short-Answer Grading. NLP4CALL, Turku, 2019 (.pdf)
- M. Mieskes and 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 at EMNLP, Copenhagen, 2017 (.pdf)
- U. Pado, Get Semantic With Me! The Usefulness of Different Feature Types for Short-Answer Grading. COLING, Osaka, 2016 (.pdf)
- U. Pado and C. Kiefer, Short Answer Grading: When Sorting Helps and When it Doesn't. 4th NLP4CALL workshop at Nodalida, Vilnius, 2015 (.pdf)
- N. Ortiz Suarez, J. Lemcke and U. Pado, Labelling Business Entities in a Canonical Data Model. KONVENS, Hildesheim, 2014 (.pdf)
- J. Bernstein, M. Suzuki, J. Cheng and 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 and 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 and K. Erk, Flexible, Corpus-Based Modelling of Human Plausibility Judgements. EMNLP, Prague, 2007. (.pdf)
- U. Pado, M. Crocker and F.Keller, Modelling Semantic Role Plausibility in Human Sentence Processing. EACL, Trento, 2006 (.pdf).
- U. Pado, F. Keller and M. Crocker, Combining Syntax and Thematic Fit in a Probabilistic Model of Sentence Processing. CogSci, Vancouver, 2006. (.pdf)
- U. Baldewein, K. Erk, S. Pado and D. Prescher, Semantic Role Labeling with Chunk Sequences. CoNLL-2004, Boston, MA, 2004. (.ps.gz)
- U. Baldewein, K. Erk, S. Pado and D. Prescher, Semantic Role Labelling With Similarity-Based Generalisation Using EM-based Clustering. SENSEVAL-3, Barcelona, 2004. (.ps.gz)
- U. Baldewein and F. Keller, Modelling Attachment Decisions with a Probabilistic Parser: The Case of Head-Final Structures. CogSci, Chicago, IL, 2004. (.ps.gz)
Conference and workshop talks
- U. Pado, Adaptive Exercise Selection - Adaptivity in Project KNIGHT. Workshop "Adaptive Learning in Higher Education", Ulm University, 2025.
- U. Pado, Computer-Adaptive Testing Approaches for Exercise Selection - 3rd Workshop on Technology-Based Assessment, IWM Tübingen University, 2025.
PhD thesis