Papers by Anne-Marie Lutgen

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Papers by Anne-Marie Lutgen

Findings

2026.findings-acl

LTZ
encoder models
language models
Natural Language Understanding
NLU
natural language processing tasks
binary and multi-class classification settings
named entity recognition
topic classification
intent classification

2026

Information Retrieval

1 papers

ltzGLUE: Luxembourgish General Language Understanding Evaluation (2026.findings-acl)

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Alistair Plum, Felicia Körner, Anne-Marie Lutgen, Laura Bernardy, Fred Philippy, Emilia Milano, Nils Rehlinger, Cedric Lothritz, Tharindu Ranasinghe, Barbara Plank, Christoph Purschke

Information Retrieval

Challenge:	ltzGLUE is the first official NLU benchmark for Luxembourgish (LTZ) based on the popular GLUE benchmark for English.
Approach:	They propose a new natural language understanding (NLU) benchmark for Luxembourgish based on the popular GLUE benchmark for English.
Outcome:	The proposed model performs well across many languages and is based on the GLUE benchmark for English.

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