Publications

Zlabinger, M. (2019) Efficient and Effective Text-Annotation through Active Learning, Association for Computing Machinery, SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, .
Zlabinger, M. (2019) Improving the Annotation Efficiency and Effectiveness in the Text Domain, Springer, Cham, Advances in Information Retrieval 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I, .
Zlabinger, M., Rekabsaz, N., Zlabinger, S., Hanbury, A. (2019) Efficient Answer-Annotation for Frequent Questions, Springer, Experimental IR Meets Multilinguality, Multimodality, and Interaction.10th International Conference of the CLEF Association, CLEF 2019 Lugano, Switzerland, September 9-12, 2019. Proceedings., .
Zlabinger, M., Andersson, L., Hanbury, A., Andersson, M. (2018) Medical Entity Corpus with PICO elements and Sentiment Analysis, International Conference on Language Resources and Evaluation, LREC 2018, Eleventh International Conference on Language Resources and Evaluation, .
Zlabinger, M., Hanbury, A. (2017) Finding duplicate images in biology papers, SAC '17 Proceedings of the Symposium on Applied Computing, 32nd ACM SIGAPP Symposium On Applied Computing, .
Zlabinger, M. (2017) Efficient and Effective Text-Annotation through Active Learning, ACM, SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, .
Zlabinger, M. (2016) Finden von Duplikatbildern in Biologie-Publikationen, Master thesis at Institut für Softwaretechnik und Interaktive Systeme.