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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
- 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
- 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, Bewerterunterstützung für Freitextaufgaben, Digitales Lehren und Prüfen, Tagung der Hochschulföderation SüdWest, Stuttgart, Germany, 2016
- C. Kiefer and U. Pado, Gute Frage! Manuelle Korrektur von Freitextfragen optimieren. 44. DGHD-Jahrestagung, Paderborn, Germany, 2015.
PhD thesis