Research
- 2018 - Kumar, Ramesh - Evaluation of Semantic Textual Similarity Approaches for Automatic Short Answer Grading - RnD Project, March 2018 
- Ovchinnikova, Evgeniya - AI-assisted short answer grading: comprehensive classification and evaluation of the existing state of the art techniques - RnD Project, June 2018 
- Zahiduzzaman, Md - Semantic Textual Similarity: A Comparative Evaluation of Deep Learning Based Models - RnD Project, November 2018 
 
- 2019 - Ovchinnikova, Evgeniya - Automatic Sentence Generation Using Generative Adversarial Neural Networks - Master Thesis, April 2019 
- Jeeveswaran, Kishaan; Muthuraja, Mohandass - Evaluation of Active Learning for Short Answer Grading - RnD Project, April 2019 
- Metzler, Tim Daniel - Computer-assisted grading of short answers using word embeddings and keyphrase extraction - Master Thesis, April 2019 
- Sharma, Ramit - Recognizing textual entailment - A comprehensive evaluation of the existing state of the art techniques - RnD Project, November 2019 
 
- 2020 - Löffelsender, Jan Lukas - A checker of sequences of equivalence transformations for a given step-by-step proof - Master Project, January 2020 
- Zahiduzzaman, Md - Explainable Assistive Short Answer Grading - Master Thesis, January 2020 
- Gaddipatti, Sasi Kiran - Comparative Evaluation of Transfer Learning Models in Semantic Text Similarity - RnD Project, March 2020 
- MohammadiGahrooei, Vahid - Automatic Question Generation For Exams - RnD Project, August 2020 
 
- 2021 - Löffelsender, Jan Lukas - An active learning realization for computer assisted grading - Master Thesis, January 2021 
- Talha, Muhammad - Clustering Techniques in Computer-Assisted Short Answer Grading - RnD Project, January 2021 
- Gaddipatti, Sasi Kiran - Automatic Formative Assessment for Students’ Short Text Answers through Feature Extraction - Master Thesis, April 2021 
- MohammadiGahrooei, Vahid - Automatic Question and Answer Generation from Domain-Specific Text for Exams - Master Thesis, May 2021 
 
- 2022 - Pohland, Clara - Question/Answer Generation based on the T5 Model - Master Project, February 2022