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Markus Zlabinger
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Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking
S Hofstätter, M Zlabinger, A Hanbury
European Conference on Artificial Intelligence (ECAI), 2020
862020
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 26 (1), 24-27, 2019
202019
Mitigating the position bias of transformer models in passage re-ranking
S Hofstätter, A Lipani, S Althammer, M Zlabinger, A Hanbury
Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021
182021
TU Wien@ TREC Deep Learning'19--Simple Contextualization for Re-ranking
S Hofstätter, M Zlabinger, A Hanbury
arXiv preprint arXiv:1912.01385, 2019
182019
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering
S Hofstätter, M Zlabinger, M Sertkan, M Schröder, A Hanbury
Conference on Information & Knowledge Management (CIKM), 3031-3038, 2020
102020
Medical Entity Corpus with PICO Elements and Sentiment Analysis
M Zlabinger, L Andersson, A Hanbury, M Andersson, V Quasnik, ...
International Conference on Language Resources and Evaluation (LREC), 2018
92018
Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports
M Zlabinger, M Sabou, S Hofstätter, A Hanbury
Conference on Empirical Methods in Natural Language Processing (EMNLP …, 2020
62020
Learning to Re-Rank with Contextualized Stopwords
S Hofstätter, A Lipani, M Zlabinger, A Hanbury
Conference on Information & Knowledge Management (CIKM), 2057-2060, 2020
62020
Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results
S Hofstätter, M Zlabinger, A Hanbury
European Conference on Information Retrieval (ECIR), 459-464, 2020
62020
Extracting the Population, Intervention, Comparison and Sentiment from Randomized Controlled Trials.
M Zlabinger, L Andersson, J Brassey, A Hanbury
Medical Informatics Europe Conference (MIE), 146-150, 2018
52018
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts
M Zlabinger, M Sabou, S Hofstätter, M Sertkan, A Hanbury
SIGIR Conference on Research and Development in Information Retrieval, 2109-2112, 2020
32020
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations
M Zlabinger, S Hofstätter, N Rekabsaz, A Hanbury
European Conference on Information Retrieval (ECIR), 433-440, 2020
32020
Finding Duplicate Images in Biology Papers
M Zlabinger, A Hanbury
Proceedings of the Symposium on Applied Computing (SAC), 957-959, 2017
32017
Verifying Extended Entity Relationship Diagrams with Open Tasks
M Sabou, K Käsznar, M Zlabinger, S Biffl, D Winkler
Conference on Human Computation and Crowdsourcing (HCOMP) 8 (1), 132-140, 2020
22020
Efficient and Effective Text-Annotation through Active Learning
M Zlabinger
SIGIR Conference on Research and Development in Information Retrieval, 1456-1456, 2019
22019
Efficient answer-annotation for frequent questions
M Zlabinger, N Rekabsaz, S Zlabinger, A Hanbury
Conference of the Cross-Language Evaluation Forum (CLEF), 126-137, 2019
12019
Improving the Annotation Efficiency and Effectiveness in the Text Domain
M Zlabinger
European Conference on Information Retrieval (ECIR), 343-347, 2019
12019
SCI-3000: A Dataset for Figure, Table and Caption Extraction from Scientific PDFs
F Darmanović, A Hanbury, M Zlabinger
International Conference on Document Analysis and Recognition, 234-251, 2023
2023
Efficient and effective manual corpus annotation to create resources for evaluation and machine learning
M Zlabinger
Technische Universität Wien, 2021
2021
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Articles 1–19