Hannah Bast

Department of Computer Science, Faculty of Engineering, University of Freiburg

Georges-Köhler-Allee 051, 79110 Freiburg

bast@informatik.uni-freiburg.de

Projects

Cross-modal representation learning, with applications to search in radiology reports and auto-filling of report templates

Principal Investigators: Hannah Bast, Thomas Brox, Elmar Kotter

Selected Publications

Bast H, Hertel M, and Mohamed MM. Tokenization repair in the presence of spelling errors. In: Proceedings of the 25th Conference on Computational Natural Language Learning (CoNLL’21). ACL, 2021:279–289.

Bast H and Buchhold B. QLever: A query engine for efficient SPARQL+text search. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (CIKM’17). ACM, 2017:647–656.

Bast H, Buchhold B, and Haussmann E. Semantic search on text and knowledge bases. Foundations and Trends in Information Retrieval 2016;10:119–271.

Bast H, Delling D, Goldberg AV, Müller-Hannemann M, Pajor T, Sanders P, Wagner D, and Werneck RF. Route planning in transportation networks. In: Algorithm Engineering – Selected Results and Surveys. Ed. by Kliemann L and Sanders P. Vol. 9220. 2016:19–80.

Bast H and Haussmann E. More accurate question answering on freebase. In: Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM’15). Ed. by Bailey J, Moffat A, Aggarwal CC, Rijke M de, Kumar R, Murdock V, Sellis TK, and Yu JX. ACM, 2015:1431–1440.

Bast H and Haussmann E. Open information extraction via contextual sentence decomposition. In: 2013 IEEE Seventh International Conference on Semantic Computing. IEEE, 2013:154–159.

Bast H, Carlsson E, Eigenwillig A, Geisberger R, Harrelson C, Raychev V, and Viger F. Fast routing in very large public transportation networks using transfer patterns. In: Algorithms – ESA 2010. Ed. by Berg M de. Vol. 6346. 2010:290–301.

Bast H, Funke S, Sanders P, and Schultes D. Fast routing in road networks with transit nodes. Science 2007;316:566–566.

Bast H and Weber I. The CompleteSearch engine: Interactive, efficient, and towards IR& DB integration. In: Third Biennial Conference on Innovative Data Systems Research (CIDR’07). cidrdb.org, 2007:88–95.

Bast H, Kalmbach J, Klumpp T, Kramer F, and Schnelle N. Efficient SPARQL autocompletion via SPARQL. 2021. arXiv: 2104.14595.

Principal Investigators

Research Projects