Educational NLP

An application of NLP techniques with the potential for positive real-world impact is their use in educational tools, such as writing assessment and support systems. The NLP Group collaborates with education researchers to develop methods for feedback generation, essay scoring, output adjustments to learner specificities, gap detection, and more.

• Stahl et al. (2024b). Maja Stahl, Leon Biermann, Andreas Nehring, and Henning Wachsmuth. Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation. BEA 2024. **Best Long Paper Award**
• Stahl et al. (2024a). Maja Stahl, Nadine Michel, Sebastian Kilsbach, Julian Schmidtke, Sara Rezat, and Henning Wachsmuth. A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and Quality. NAACL 2024.
• Stahl et al. (2023). Maja Stahl, Nick Düsterhus, Mei-Hua Chen, and Henning Wachsmuth. Mind the Gap: Automated Corpus Creation for Enthymeme Detection and Reconstruction in Learner Arguments. EMNLP Findings 2023.
• Skitalinskaya and Wachsmuth (2023). Gabriella Skitalinskaya and Henning Wachsmuth. To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Support. ACL 2023.
• Chen et al. (2022). Wei-Fan Chen, Mei-Hua Chen, Garima Mudgal, and Henning Wachsmuth. Analyzing Culture-Specific Argument Structures in Learner Essays. ArgMining 2020. **Honorable Mention for Best Paper Award**

• Nouri (2024): Zahra Nouri. Automated Writing Assistance for Task Description Clarity in Crowdsourcing. March 8, 2024. 

• DFG Project ArgSchool (2021–2025): Computational Support for Learning Argumentative Writing in Digital School Education