2021W

• Bachelor Thesis for Informatics and Business Informatics / 188.926 / PR
• Informatics Lab (Freifachpraktikum) / 188.416 / PR
• Project in Computer Science 1 / 194.074 / PR
• Project in Computer Science 2 / 194.075 / PR

• Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering / S. Hofstätter, M. Zlabinger, M. Sertkan, M. Schröder, A. Hanbury / Talk: CIKM 2020: International Conference on Information & Knowledge Management 2020, Virtual Event, Ireland; 2020-12-03 - 2020-12-05; in: "Proceedings of the 29th ACM International Conference on Information & Knowledge Management", Association for Computing Machinery, (2020), ISBN: 9781450368599; 3031 - 3038
• Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation / S. Hofstätter, S. Althammer, M. Schröder, M. Sertkan, A. Hanbury / ArXiv, 2010.02666 (2020), 1 - 8