Author

Ulrike Padó

Observed names: Pado, Ulrike, Padó, Ulrike, U Pado, U. Pado, Ulrike Pado

Institution: Stuttgart Technical University of Applied Sciences

Observed institutions: Stuttgart Technical University of Applied Sciences, Saarland University, University of Edinburgh

ORCID: 0009-0000-0664-7487

Observed ORCID: 0009-0000-0664-7487

OpenAlex ID: A5009943536

A Flexible, Corpus-Driven Model of Regular and Inverse Selectional Preferences

2010 · Katrin Erk, Sebastian Padó, et al. · Computational Linguistics · 99

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A Probabilistic Model of Semantic Plausibility in Sentence Processing

2009 · Ulrike Padó, Matthew W. Crocker, et al. · Cognitive Science · 75

The integration of syntax and semantic plausibility in a wide-coverage model of human sentence processing

2007 · Padó, Ulrike · Publications of the UdS (Saarland University) · 36

Flexible, Corpus-Based Modelling of Human Plausibility Judgements

2007 · Sebastian Padó, Ulrike Padó, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 35

Automatic assessment of spoken modern standard Arabic

2009 · Jian Cheng, Jared Bernstein, et al. · 33

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Question Difficulty – How to Estimate Without Norming, How to Use for Automated Grading

2017 · Ulrike Pado · Workshop on Innovative Use of NLP for Building Educational Applications · 27

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Short answer grading: When sorting helps and when it doesn’t

2015 · Ulrike Padó, Cornelia Kiefer · Fachbereich Informatik (University of Stuttgart) · 17

Get Semantic With Me! The Usefulness of Different Feature Types for Short-Answer Grading

2016 · Ulrike Padó · 16

Combining Syntax and Thematic Fit in a Probabilistic Model of Sentence Processing

2006 · Matthew Croker, Frank Keller, et al. · eScholarship (California Digital Library) · 12

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Short-Answer Grading for German: Addressing the Challenges

2023 · Ulrike Padó, Yunus Eryilmaz, et al. · International Journal of Artificial Intelligence in Education · 10

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Work Smart - Reducing Effort in Short-Answer Grading

2018 · Margot Mieskes, Ulrike Padó · 8

Determinants of grader agreement: an analysis of multiple short answer corpora

2021 · Ulrike Padó, Sebastian Padó · Language Resources and Evaluation · 6

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Modelling Semantic Role Pausibility in Human Sentence Processing.

2006 · Ulrike Padó, Matthew W. Crocker, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 6

EACL 2006, 11st Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, April 3-7, 2006, Trento, Italy

2006 · Ulrike Padó, Matthew W. Crocker, et al. · 6

Regaining Control: Enabling Educators to Build Specialized AI Chat Bots with Retrieval Augmented Generation

2025 · Barbara Pampel, Simon Martin, et al. · International Conference on Computer Supported Education · 5

Assessing the Practical Benefit of Automated Short-Answer Graders

2022 · Ulrike Padó · Lecture notes in computer science · 4

Summarization Evaluation meets Short-Answer Grading

2019 · Margot Mieskes, Ulrike Padó · 3

[Localization of scotomas in AMD by reading test : Random series of words in standardized format].

2016 · W Eisenbarth, U Pado, et al. · PubMed · 3

Lokalisation von Skotomen mittels Lesetest bei AMD

2016 · W. Eisenbarth, U. Pado, et al. · Der Ophthalmologe · 3

Computer-Based Methods for Adaptive Teaching and Learning

2024 · Ulrike Pado, Anselm Knebusch, et al. · Lecture notes in networks and systems · 2

A Transformer for SAG: What Does it Grade?

2022 · Nico Willms, Ulrike Padó · Linköping electronic conference proceedings · 2

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Freitextaufgaben in Online-Tests – Bewertung und Bewertungsunterstützung

2015 · Cornelia Kiefer, Ulrike Pado · HMD Praxis der Wirtschaftsinformatik · 2

Evaluating diglossic aspects of an automated test of spoken modern standard Arabic

2009 · Jared Bernstein, Masanori Suzuki, et al. · ISCA Workshop on Speech and Language Technology in Education (SLaTE) · 2

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Prädiktionsgüte der Rückfederung in der Blechbearbeitung/Prediction quality of springback in sheet metal working – A comparative study of machine learning models

2024 · Peter Lange, Philipp Kurrle, et al. · wt Werkstattstechnik online · 1

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From Capable to Trustworthy: Empowering Educators to Build Reliable AI Chatbots with Retrieval-Augmented Generation

2026 · Barbara Pampel, Simon Martin, et al. · Communications in computer and information science

Works count: 40

Citation count: 413

H-index: 10

I10-index: 10