Katharina Beckh

17 papers B 1Journal 8Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
GG-BBQ: German Gender Bias Benchmark for Question Answering.
CoRR
Shalaka Satheesh, Katrin Klug, Katharina Beckh, Héctor Allende-Cid, Sebastian Houben, Teena Hassan
2025 — conf
Leveraging MLOps: Developing a Sequential Classification System for RFQ Documents in Electrical Engineering.
SEIP@ICSE
Claudio Martens, Hammam Abdelwahab, Katharina Beckh, Birgit Kirsch, Vishwani Gupta, Steffen Hoh, Dennis Wegener
2025 B conf
Robustness Evaluation of the German Extractive Question Answering Task.
COLING
Shalaka Satheesh, Katharina Beckh, Katrin Klug, Héctor Allende-Cid, Sebastian Houben, Teena Hassan
2025 — conf
The Anatomy of Evidence: An Investigation Into Explainable ICD Coding.
ACL (Findings)
Katharina Beckh, Elisa Studeny, Sujan Sai Gannamaneni, Dario Antweiler, Stefan Rüping
2025 J jnl
The Anatomy of Evidence: An Investigation Into Explainable ICD Coding.
CoRR
Katharina Beckh, Elisa Studeny, Sujan Sai Gannamaneni, Dario Antweiler, Stefan Rüping
2025 J jnl
When Sufficient is not Enough: Utilizing the Rashomon Effect for Complete Evidence Extraction.
CoRR
Katharina Beckh, Stefan Rüping
2024 J jnl
From admission to discharge: a systematic review of clinical natural language processing along the patient journey.
BMC Medical Informatics Decis. Mak.
Katrin Klug, Katharina Beckh, Dario Antweiler, Nilesh Chakraborty, Giulia Baldini, Katharina Laue, René Hosch, Felix Nensa, Martin Schuler, Sven Giesselbach
2023 — conf
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning.
ECML/PKDD (3)
Sebastian Müller, Vanessa Toborek, Katharina Beckh, Matthias Jakobs, Christian Bauckhage, Pascal Welke
2023 J jnl
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning.
CoRR
Sebastian Müller, Vanessa Toborek, Katharina Beckh, Matthias Jakobs, Christian Bauckhage, Pascal Welke
2023 — conf
Harnessing Prior Knowledge for Explainable Machine Learning: An Overview.
SaTML
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden
2023 J jnl
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems.
IEEE Trans. Knowl. Data Eng.
Laura von Rüden, Sebastian Mayer, Katharina Beckh, Bogdan Georgiev, Sven Giesselbach, Raoul Heese, Birgit Kirsch, Julius Pfrommer, Annika Pick, Rajkumar Ramamurthy, Michal Walczak, Jochen Garcke, Christian Bauckhage, Jannis Schuecker
2022 — conf
A Quantitative Human-Grounded Evaluation Process for Explainable Machine Learning.
LWDA
Katharina Beckh, Sebastian Müller, Stefan Rüping
2021 — conf
Digitalisierungsworkflow zur Strukturierung und Standardisierung von Instandhaltungsinformationen von Windenergieanlagen.
GI-Jahrestagung
Marc-Alexander Lutz, Katharina Beckh, Jörg Kindermann, Juliane Schneider, Julia Walgern, Sebastian Pfaffel, Stefan Faulstich, Alisa Staack
2021 J jnl
Explainable Machine Learning with Prior Knowledge: An Overview.
CoRR
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden
2021 — conf
Supporting verification of news articles with automated search for semantically similar articles.
ROMCIR@ECIR
Vishwani Gupta, Katharina Beckh, Sven Giesselbach, Dennis Wegener, Tim Wirtz
2021 J jnl
Supporting verification of news articles with automated search for semantically similar articles.
CoRR
Vishwani Gupta, Katharina Beckh, Sven Giesselbach, Dennis Wegener, Tim Wirtz
2020 — conf
Fusing Multi-label Classification and Semantic Tagging.
LWDA
Jörg Kindermann, Katharina Beckh