Markus Zlabinger

According to our database, Markus Zlabinger authored at least 20 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SCI-3000: A Novel Dataset for the Task of Figure, Table and Caption Extraction from Scientific PDFs.

Filip Darmanovic, Allan Hanbury, Markus Zlabinger

Dataset, September, 2023

SCI-3000: A Novel Dataset for the Task of Figure, Table and Caption Extraction from Scientific PDFs.

Filip Darmanovic, Allan Hanbury, Markus Zlabinger

Dataset, July, 2023

SCI-3000: A Dataset for Figure, Table and Caption Extraction from Scientific PDFs.

Filip Darmanovic, Allan Hanbury, Markus Zlabinger

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

2022

SCI-3000: A Novel Dataset for the Task of Figure, Table and Caption Extraction from Scientific PDFs.

Filip Darmanovic, Allan Hanbury, Markus Zlabinger

Dataset, May, 2022

2021

Mitigating the Position Bias of Transformer Models in Passage Re-ranking.

Sebastian Hofstätter, Aldo Lipani, Sophia Althammer, Markus Zlabinger, Allan Hanbury

Proceedings of the Advances in Information Retrieval, 2021

2020

DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts.

Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Verifying Extended Entity Relationship Diagrams with Open Tasks.

Marta Sabou, Klemens Käsznar, Markus Zlabinger, Stefan Biffl, Dietmar Winkler

Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing, 2020

Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports.

Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Allan Hanbury

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations.

Markus Zlabinger, Sebastian Hofstätter, Navid Rekabsaz, Allan Hanbury

Proceedings of the Advances in Information Retrieval, 2020

Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results.

Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury

Proceedings of the Advances in Information Retrieval, 2020

Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking.

Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering.

Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Learning to Re-Rank with Contextualized Stopwords.

Sebastian Hofstätter, Aldo Lipani, Markus Zlabinger, Allan Hanbury

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking.

Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury

Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

Efficient and Effective Text-Annotation through Active Learning.

Markus Zlabinger

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Improving the Annotation Efficiency and Effectiveness in the Text Domain.

Markus Zlabinger

Proceedings of the Advances in Information Retrieval, 2019

Efficient Answer-Annotation for Frequent Questions.

Markus Zlabinger, Navid Rekabsaz, Stefan Zlabinger, Allan Hanbury

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2019

2018

Extracting the Population, Intervention, Comparison and Sentiment from Randomized Controlled Trials.

Markus Zlabinger, Linda Andersson, Jon Brassey, Allan Hanbury

Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

Medical Entity Corpus with PICO elements and Sentiment Analysis.

Markus Zlabinger, Linda Andersson, Allan Hanbury, Michael Andersson, Vanessa Quasnik, Jon Brassey

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2017

Finding duplicate images in biology papers.

Markus Zlabinger, Allan Hanbury

Proceedings of the Symposium on Applied Computing, 2017