Veröffentlichungen (Tim Steuer)
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[SFZT22-1] Tim Steuer, Anna Filighera, Gianluca Zimmer, Thomas Tregel:
What Is Relevant for Learning? Approximating Readers’ Intuition Using Neural Content Selection. In: Artificial Intelligence in Education, p. 505-511, Springer International Publishing, August 2022.
[FTS+22-1]
PDF		 Anna Filighera, Joel Tschesche, Tim Steuer, Thomas Tregel, Lisa Wernet:
Towards Generating Counterfactual Examples as Automatic Short Answer Feedback. In: Artificial Intelligence in Education, p. 206--217, Springer International Publishing, August 2022, ISBN 978-3-031-11644-5.
[SFM+22-1] Tim Steuer, Anna Filighera, Nina Mouhammad, Gianluca Zimmer, Thomas Tregel:
Learning-Relevant Concept Extraction By Utilizing Automatically Generated Textbook Corpora. In: International Conference on Advanced Learning Technologies (ICALT), p. 379-383, July 2022.
[FBST22-1]
PDF		 Anna Filighera, Leonard Bongard, Tim Steuer, Thomas Tregel:
Towards A Vocalization Feedback Pipeline for Language Learners. In: 2022 International Conference on Advanced Learning Technologies (ICALT), p. 248-252, IEEE, July 2022.
[SFT22-1] Tim Steuer, Anna Filighera, Thomas Tregel:
Investigating Educational and Noneducational Answer Selection for Educational Question Generation. In: IEEE Access, June 2022.
[SFTM22-1] Tim Steuer, Anna Filighera, Thomas Tregel, André Miede:
Educational Automatic Question Generation Improves Reading Comprehension in Non-native Speakers: A Learner-Centric Case Study. In: Frontiers in Artificial Intelligence, June 2022.
[FPS+22-1]
PDF		 Anna Filighera, Siddharth Parihar, Tim Steuer, Tobias Meuser, Sebastian Ochs:
Your Answer is Incorrect... Would you like to know why? Introducing a Bilingual Short Answer Feedback Dataset. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), p. 8577--8591, Association for Computational Linguistics, May 2022.
[GKS+22-1]
PDF		 Pegah Golchin, Ralf Kundel, Tim Steuer, Rhaban Hark, Ralf Steinmetz:
Improving DDoS Attack Detection Leveraging a Multi-aspect Ensemble Feature Selection. In: Proceedings of the IEEE/IFIP Network Operations and Management Symposium (NOMS), 2022., April 2022.
[SBUG21-1]
PDF		 Tim Steuer, Leonard Bongard, Jan Uhlig, and Gianluca Zimmer:
On the Linguistic and Pedagogical Quality of Automatic Question Generation via Neural Machine Translation. In: European Conference on Technology Enhanced Learning , Springer International Publishing, September 2021.
[SFR20-2]
PDF		 Tim Steuer, Anna Filighera, Christoph Rensing:
Exploring Artificial Jabbering For Automatic Text Comprehension Question Generation. In: European Conference on Technology Enhanced Learning, p. 1--14, Springer International Publishing, September 2020, ISBN 978-3-030-57717-9.
[FSR20-2]
PDF		 Anna Filighera, Tim Steuer, Christoph Rensing:
Fooling it - Student Attacks on Automatic Short Answer Grading. In: Addressing Global Challenges and Quality Education, p. 347-352, Springer International Publishing, September 2020, ISBN 978-3-030-57717-9.
[FSR20-1]
PDF		 Anna Filighera, Tim Steuer, Christoph Rensing:
Fooling Automatic Short Answer Grading Systems. In: Artificial Intelligence in Education, 21, p. 177-190, Springer International Publishing, July 2020, ISBN 978-3-030-52237-7.
[SFR20-1]
PDF		 Tim Steuer, Anna Filighera, Christoph Rensing:
Remember the facts? Investigating Answer-aware Neural Question Generation for Text Comprehension. In: Artificial Intelligence in Education, 21, p. 512-523, Springer International Publishing, July 2020, ISBN 978-3-030-52237-7.
[SR19-1]
PDF		 Tim Steuer, Christoph Rensing:
Themenübergreifende Diskursklassifikation auf Basis von Word Embeddings und Sequenzfeatures. In: Die 17. Fachtagung Bildungstechnologien, p. 45-56, Gesellschaft für Informatik, September 2019.
[FSR19-1]
PDF		 Anna Filighera, Tim Steuer, Christoph Rensing:
Automatic Text Difficulty Estimation Using Embeddings and Neural Networks. In: 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, p. 335-348, Springer, September 2019, ISBN 978-3-030-29735-0.
[ASSR19-1] Wael Alkhatib, Steffen Schnitzer, Tim Steuer, Christoph Rensing:
Unsupervised Query-based Document Recommendation Using Deep Learning. In: 20th International Conference on Computational Linguistics and Intelligent Text Processing (accepted for publication), Springer, April 2019.