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
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
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
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
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Vincent Fortuin Receives ERC Starting Grant for Reliable Small-Data AI
MCML PI Vincent Fortuin receives an ERC Starting Grant for AutoBayes, advancing reliable AI methods for learning from small datasets.
