TU Wien Informatics

Role

2021W

 

  • 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
  • Learning to Re-Rank with Contextualized Stopwords / S. Hofstätter, A. Lipani, M. Zlabinger, A. Hanbury / Talk: CIKM 2020: International Conference on Information & Knowledge Management 2020, Ireland (Virtual Event); 2020-12-03 - 2020-12-05; in: "Proceedings of the 29th ACM International Conference on Information & Knowledge Management", (2020), ISBN: 978-1-4503-6859-9; 2057 - 2060
  • Verifying Extended Entity Relationship Diagrams with Open Tasks / R. Sabou, K. Käsznar, M. Zlabinger, S. Biffl, D. Winkler / Talk: 8th AAAI Conference on Human Computation and Crowdsourcing, HCOMP, Hilversum, Netherlands; 2020-10-25 - 2020-10-29; in: "Proceedings of the 8th AAAI Conference on Human Computation and Crowdsourcing, HCOMP", (2020), 132 - 140
  • Interpretable & time-budget-constrained contextualization for re-ranking / S. Hofstätter, M. Zlabinger, A. Hanbury / Talk: ECAI 2020 - 24th European Conference on Artificial Intelligence, Santiago de Compostela, Spain; 2020-08-29 - 2020-09-05; in: "ECAI 2020 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020)", IOS Press, Volume 325 of Frontiers in Artificial Intelligence and Applications (2020), ISBN: 978-1-64368-100-9; 1 - 8
  • DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts / M. Zlabinger, R. Sabou, S. Hofstätter, M. Sertkan, A. Hanbury / Talk: SIGIR 2020 - 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Xi'an, China; 2020-07-25 - 2020-07-30; in: "SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval", J. Huang, Y. Chang et al. (ed.); Association for Computing Machinery, New York, NY, United States, (2020), ISBN: 978-1-4503-8016-4; 2109 - 2112
  • Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results / S. Hofstätter, M. Zlabinger, A. Hanbury / Talk: ECIR 2020 - 42nd European Conference on Information Retrieval, Lisbon, Portugal (Online); 2020-04-14 - 2020-04-17; in: "Advances in Information Retrieval 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II", Springer, LNCS, volume 12036 (2020), ISBN: 978-3-030-45441-8; 459 - 464
  • DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations / M. Zlabinger, S. Hofstätter, N. Rekabsaz, A. Hanbury / in: "Advances in Information Retrieval 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II", Lecture Notes in Computer Science, vol 12036; Springer Nature Switzerland AG 2021, 2020, ISBN: 978-3-030-45441-8, 433 - 440
  • Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports / M. Zlabinger, R. Sabou, S. Hofstätter, A. Hanbury / in: "Findings of the Association for Computational Linguistics: EMNLP 2020", T. Cohn, Y. He, Y. Liu (ed.); issued by: Association for Computational Linguistics; The Association for Computational Linguistics, 2020, 3064 - 3074
  • Efficient Answer-Annotation for Frequent Questions / M. Zlabinger, N. Rekabsaz, S. Zlabinger, A. Hanbury / Talk: 10th International Conference of the CLEF Association, CLEF 2019, Lugano, Switzerland; 2019-09-09 - 2019-09-12; in: "Experimental IR Meets Multilinguality, Multimodality, and Interaction.10th International Conference of the CLEF Association, CLEF 2019 Lugano, Switzerland, September 9-12, 2019. Proceedings.", Springer, Lecture Notes in Computer Science 11696 (2019), ISBN: 978-3-030-28576-0; 126 - 137
  • Efficient and Effective Text-Annotation through Active Learning / M. Zlabinger / Talk: SIGIR '19: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France; 2019-07-21 - 2019-07-25; in: "SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval", Association for Computing Machinery, New York (2019), ISBN: 978-1-4503-6172-9; 1456
  • Improving the Annotation Efficiency and Effectiveness in the Text Domain / M. Zlabinger / Talk: Advances in Information Retrieval. 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Cologne, Germany; 2019-04-14 - 2019-04-18; in: "Advances in Information Retrieval 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I", L. Azzopardi et al. (ed.); Springer, Cham, LNCS, volume 11437 (2019), ISBN: 978-3-030-15718-0; 343 - 347
  • Developing a fully automated evidence synthesis tool for identifying, assessing and collating the evidence / J. Brassey, C. Price, J. Edwards, M. Zlabinger, A. Bampoulidis, A. Hanbury / BMJ Evidence-Based Medicine, online first (2019)
  • Medical Entity Corpus with PICO elements and Sentiment Analysis / M. Zlabinger, L. Andersson, A. Hanbury, M. Andersson, V. Quasnik, J. Brassey / in: "LREC 2018, Eleventh International Conference on Language Resources and Evaluation", International Conference on Language Resources and Evaluation, 2018, ISBN: 979-10-95546-00-9, 292 - 296
  • Efficient and Effective Text-Annotation through Active Learning / M. Zlabinger / Talk: SIGIR '19: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France; 2017-08-07 - 2017-08-11; in: "SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval", ACM, New York (2017), ISBN: 978-1-4503-5022-8; 1456
  • Finding duplicate images in biology papers / M. Zlabinger, A. Hanbury / Poster: Symposium on Applied Computing (SAC), Marokko; 2017-04-04 - 2017-04-06; in: "32nd ACM SIGAPP Symposium On Applied Computing", SAC '17 Proceedings of the Symposium on Applied Computing, (2017), 957 - 959
  • Extracting the Population, Intervention, Comparison and Sentiment from Randomized Controlled Trials. / M. Zlabinger, L. Andersson, J. Brassey, A. Hanbury / Studies in health technology and informatics, 247 (2017), 146 - 150
  • Finden von Duplikatbildern in Biologie-Publikationen / Master Thesis by M. Zlabinger / Supervisor: A. Hanbury; Institut für Softwaretechnik und Interaktive Systeme, 2016