Markus Zlabinger

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 24

Top Topics

Document Ranking

Personalized Search

Question Answering

Top Venues

Publications

Filip Darmanovic, Allan Hanbury, Markus Zlabinger
SCI-3000: A Dataset for Figure, Table and Caption Extraction from Scientific PDFs. ICDAR (1) (2023)
Sebastian Hofstätter, Aldo Lipani, Sophia Althammer, Markus Zlabinger, Allan Hanbury
Mitigating the Position Bias of Transformer Models in Passage Re-ranking. ECIR (1) (2021)
Sebastian Hofstätter, Aldo Lipani, Sophia Althammer, Markus Zlabinger, Allan Hanbury
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking. CoRR (2021)
Marta Sabou, Klemens Käsznar, Markus Zlabinger, Stefan Biffl, Dietmar Winkler
Verifying Extended Entity Relationship Diagrams with Open Tasks. HCOMP (2020)
Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. CIKM (2020)
Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. CoRR (2020)
Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. CoRR (2020)
Markus Zlabinger, Sebastian Hofstätter, Navid Rekabsaz, Allan Hanbury
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations. CoRR (2020)
Markus Zlabinger, Sebastian Hofstätter, Navid Rekabsaz, Allan Hanbury
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations. ECIR (2) (2020)
Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. ECAI (2020)
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)
Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results. ECIR (2) (2020)
Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. SIGIR (2020)
Sebastian Hofstätter, Aldo Lipani, Markus Zlabinger, Allan Hanbury
Learning to Re-Rank with Contextualized Stopwords. CIKM (2020)
Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. CoRR (2020)
Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking. CoRR (2019)
Markus Zlabinger
Efficient and Effective Text-Annotation through Active Learning. SIGIR (2019)
Markus Zlabinger, Navid Rekabsaz, Stefan Zlabinger, Allan Hanbury
Efficient Answer-Annotation for Frequent Questions. CLEF (2019)
Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking. TREC (2019)
Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results. CoRR (2019)
Markus Zlabinger
Improving the Annotation Efficiency and Effectiveness in the Text Domain. ECIR (2) (2019)
Markus Zlabinger, Linda Andersson, Allan Hanbury, Michael Andersson, Vanessa Quasnik, Jon Brassey
Medical Entity Corpus with PICO elements and Sentiment Analysis. LREC (2018)
Markus Zlabinger, Linda Andersson, Jon Brassey, Allan Hanbury
Extracting the Population, Intervention, Comparison and Sentiment from Randomized Controlled Trials. MIE (2018)
Markus Zlabinger, Allan Hanbury
Finding duplicate images in biology papers. SAC (2017)