26.03.2021
MCML at ECIR 2021
Three Accepted Papers
43rd European Conference on Information Retrieval, Virtual, Mar 28-Apr 01, 2021
We are happy to announce that MCML researchers have contributed a total of 3 papers to ECIR 2021. Congrats to our researchers!
Main Track (3 papers)
M. Berrendorf • E. Faerman • V. Tresp
Active Learning for Entity Alignment.
ECIR 2021 - 43rd European Conference on Information Retrieval. Virtual, Mar 28-Apr 01, 2021. DOI GitHub
Active Learning for Entity Alignment.
ECIR 2021 - 43rd European Conference on Information Retrieval. Virtual, Mar 28-Apr 01, 2021. DOI GitHub
M. Berrendorf • L. Wacker • E. Faerman
A Critical Assessment of State-of-the-Art in Entity Alignment.
ECIR 2021 - 43rd European Conference on Information Retrieval. Virtual, Mar 28-Apr 01, 2021. DOI GitHub
A Critical Assessment of State-of-the-Art in Entity Alignment.
ECIR 2021 - 43rd European Conference on Information Retrieval. Virtual, Mar 28-Apr 01, 2021. DOI GitHub
M. Fromm • M. Berrendorf • S. Gilhuber • T. Seidl • E. Faerman
Diversity Aware Relevance Learning for Argument Search.
ECIR 2021 - 43rd European Conference on Information Retrieval. Virtual, Mar 28-Apr 01, 2021. DOI GitHub
Diversity Aware Relevance Learning for Argument Search.
ECIR 2021 - 43rd European Conference on Information Retrieval. Virtual, Mar 28-Apr 01, 2021. DOI GitHub
Related
26.08.2026
Transparency for Global Health Aid
MCML PI Stefan Feuerriegel and his team use machine learning to uncover disparities in the global allocation of health aid.
25.08.2026
David Rügamer: We Need Uncertainty Quantification
MCML PI David Rügamer explains why uncertainty quantification is essential for building trustworthy AI and making informed decisions.
