20.05.2022

MCML at ACL 2022

Three Accepted Papers (1 Main, 1 Findings, and 1 Workshop)

60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland, May 22-27, 2022

We are happy to announce that MCML researchers have contributed a total of 3 papers to ACL 2022: 1 Main, 1 Findings, and 1 Workshop papers. Congrats to our researchers!

Main Track (1 paper)

L. Weissweiler • V. Hofmann • M. J. Sabet • H. Schütze
CaMEL: Case Marker Extraction without Labels.
ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics. Dublin, Ireland, May 22-27, 2022. DOI

Findings Track (1 paper)

A. Imani • L. K. Senel • M. J. Sabet • F. Yvon • H. Schütze
Graph Neural Networks for Multiparallel Word Alignment.
Findings @ACL 2022 - Findings of the 60th Annual Meeting of the Association for Computational Linguistics. Dublin, Ireland, May 22-27, 2022. DOI

Workshops (1 paper)

G. Fu • Z. Meng • Z. Han • Z. Ding • Y. Ma • M. Schubert • V. Tresp • R. Wattenhofer
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion.
SPNLP @ACL 2022 - 6th ACL Workshop on Structured Prediction for NLP at the 60th Annual Meeting of the Association for Computational Linguistics. Dublin, Ireland, May 22-27, 2022. DOI

#research #top-tier-work #hofmann #schubert #schuetze #tresp

Subscribe to RSS News feed

02.06.2026

Benjamin Lange: The Real Risk of AI Agents Is Manipulation Through Kindness

MCML Junior Research Group Leader Benjamin Lange examines how trust in AI agents can itself become a source of risk.

02.06.2026

MCML at CVPR 2026

MCML researchers are represented with 28 papers at CVPR 2026 (26 Main, and 2 Workshops).

29.05.2026

MCML at ICRA 2026

MCML researchers are represented with 4 papers at ICRA 2026 (3 Main, and 1 Workshop).

28.05.2026

Zeynep Akata: To Trust AI, We Need to Understand What Goes on Behind the Scenes

MCML PI Zeynep Akata explains that to trust AI, we must understand its inner workings, address foundation model bias, and make explainability central.

27.05.2026

Medical Diagnoses: How AI Explanations Help Doctors

Stefan Feuerriegel shows that AI models can improve diagnostic accuracy in radiology – but how the AI explains its recommendations is crucial.