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Markus Zlabinger
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2020 – today
- 2023
- [c17]Filip Darmanovic, Allan Hanbury, Markus Zlabinger:
SCI-3000: A Dataset for Figure, Table and Caption Extraction from Scientific PDFs. ICDAR (1) 2023: 234-251 - [d2]Filip Darmanovic, Allan Hanbury, Markus Zlabinger:
SCI-3000: A Novel Dataset for the Task of Figure, Table and Caption Extraction from Scientific PDFs. Zenodo, 2023 - 2022
- [d1]Filip Darmanovic, Allan Hanbury, Markus Zlabinger:
SCI-3000: A Novel Dataset for the Task of Figure, Table and Caption Extraction from Scientific PDFs. Zenodo, 2022 - 2021
- [c16]Sebastian Hofstätter, Aldo Lipani, Sophia Althammer, Markus Zlabinger, Allan Hanbury:
Mitigating the Position Bias of Transformer Models in Passage Re-ranking. ECIR (1) 2021: 238-253 - [i7]Sebastian Hofstätter, Aldo Lipani, Sophia Althammer, Markus Zlabinger, Allan Hanbury:
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking. CoRR abs/2101.06980 (2021) - 2020
- [c15]Sebastian Hofstätter, Aldo Lipani, Markus Zlabinger, Allan Hanbury:
Learning to Re-Rank with Contextualized Stopwords. CIKM 2020: 2057-2060 - [c14]Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury:
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. CIKM 2020: 3031-3038 - [c13]Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. ECAI 2020: 513-520 - [c12]Markus Zlabinger, Sebastian Hofstätter, Navid Rekabsaz, Allan Hanbury:
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations. ECIR (2) 2020: 433-440 - [c11]Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results. ECIR (2) 2020: 459-464 - [c10]Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Allan Hanbury:
Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports. EMNLP (Findings) 2020: 3064-3074 - [c9]Marta Sabou, Klemens Käsznar, Markus Zlabinger, Stefan Biffl, Dietmar Winkler:
Verifying Extended Entity Relationship Diagrams with Open Tasks. HCOMP 2020: 132-140 - [c8]Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury:
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. SIGIR 2020: 2109-2112 - [i6]Markus Zlabinger, Sebastian Hofstätter, Navid Rekabsaz, Allan Hanbury:
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations. CoRR abs/2001.05357 (2020) - [i5]Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. CoRR abs/2002.01854 (2020) - [i4]Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury:
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. CoRR abs/2005.08367 (2020) - [i3]Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury:
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. CoRR abs/2008.05363 (2020)
2010 – 2019
- 2019
- [c7]Markus Zlabinger, Navid Rekabsaz, Stefan Zlabinger, Allan Hanbury:
Efficient Answer-Annotation for Frequent Questions. CLEF 2019: 126-137 - [c6]Markus Zlabinger:
Improving the Annotation Efficiency and Effectiveness in the Text Domain. ECIR (2) 2019: 343-347 - [c5]Markus Zlabinger:
Efficient and Effective Text-Annotation through Active Learning. SIGIR 2019: 1456 - [c4]Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking. TREC 2019 - [i2]Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking. CoRR abs/1912.01385 (2019) - [i1]Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results. CoRR abs/1912.04713 (2019) - 2018
- [c3]Markus Zlabinger, Linda Andersson, Allan Hanbury, Michael Andersson, Vanessa Quasnik, Jon Brassey:
Medical Entity Corpus with PICO elements and Sentiment Analysis. LREC 2018 - [c2]Markus Zlabinger, Linda Andersson, Jon Brassey, Allan Hanbury:
Extracting the Population, Intervention, Comparison and Sentiment from Randomized Controlled Trials. MIE 2018: 146-150 - 2017
- [c1]Markus Zlabinger, Allan Hanbury:
Finding duplicate images in biology papers. SAC 2017: 957-959
Coauthor Index
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last updated on 2024-11-14 00:51 CET by the dblp team
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