15.03.2024
MCML at EACL 2024
Ten Accepted Papers (5 Main, 2 Findings, and 3 Workshops)
18th Conference of the European Chapter of the Association for Computational Linguistics, St. Julians, Malta, Mar 17-22, 2024
We are happy to announce that MCML researchers have contributed a total of 10 papers to EACL 2024: 5 Main, 2 Findings, and 3 Workshop papers. Congrats to our researchers!
Main Track (5 papers)
E. Artemova • V. Blaschke • B. Plank
Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties.
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. DOI
Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties.
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. DOI
J. Baan • R. Fernández • B. Plank • W. Aziz
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. DOI
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. DOI
B. Ma • E. Nie • S. Yuan • H. Schmid • M. Färber • F. Kreuter • H. Schütze
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks.
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. DOI
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks.
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. DOI
L. K. Senel • B. Ebing • K. Baghirova • H. Schütze • G. Glavaš
Kardeş-NLU: Transfer to Low-Resource Languages with Big Brother’s Help – A Benchmark and Evaluation for Turkic Languages.
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. Outstanding Paper Award. DOI
Kardeş-NLU: Transfer to Low-Resource Languages with Big Brother’s Help – A Benchmark and Evaluation for Turkic Languages.
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. Outstanding Paper Award. DOI
M. Zhang • R. van der Goot • M.-Y. Kan • B. Plank
NNOSE: Nearest Neighbor Occupational Skill Extraction.
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. DOI
NNOSE: Nearest Neighbor Occupational Skill Extraction.
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. DOI
Findings Track (2 papers)
P. Lin • C. Hu • Z. Zhang • A. Martins • H. Schütze
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models.
Findings @EACL 2024 - Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models.
Findings @EACL 2024 - Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL
M. Zhang • R. van der Goot • B. Plank
Entity Linking in the Job Market Domain.
Findings @EACL 2024 - Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL
Entity Linking in the Job Market Domain.
Findings @EACL 2024 - Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL
Workshops (3 papers)
J. Beck • S. Eckman • B. Ma • R. Chew • F. Kreuter
Order Effects in Annotation Tasks: Further Evidence of Annotation Sensitivity.
UncertaiNLP @EACL 2024 - 1st Workshop on Uncertainty-Aware NLP at the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL
Order Effects in Annotation Tasks: Further Evidence of Annotation Sensitivity.
UncertaiNLP @EACL 2024 - 1st Workshop on Uncertainty-Aware NLP at the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL
A. Sorensen • S. Peng • B. Plank • R. Goot
EEVEE: An Easy Annotation Tool for Natural Language Processing.
LAW @EACL 2024 - 18th Linguistic Annotation Workshop at the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL
EEVEE: An Easy Annotation Tool for Natural Language Processing.
LAW @EACL 2024 - 18th Linguistic Annotation Workshop at the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL
L. Weber-Genzel • R. Litschko • E. Artemova • B. Plank
Donkii: Characterizing and Detecting Errors in Instruction-Tuning Datasets.
LAW @EACL 2024 - 18th Linguistic Annotation Workshop at the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL
Donkii: Characterizing and Detecting Errors in Instruction-Tuning Datasets.
LAW @EACL 2024 - 18th Linguistic Annotation Workshop at the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL
Related
27.08.2026
Digdeep Podcast: Well-Intentioned but Dangerous – Will AI Regulation Become a Tool for Censorship?
In this episode of #digdeep, MCML Junior Member Sarah Ball talks together with Phil Hackemann about AI regulation.
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.
