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LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish.

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Comparing Pre-Training Schemes for Luxembourgish BERT Models., , , , , , , , and . KONVENS, page 17-27. Association for Computational Lingustics, (2023)A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain., , , , , , and . WWW (Companion Volume), page 260-268. ACM / IW3C2, (2021)On the Suitability of SHAP Explanations for Refining Classifications., , , , , , , , and . ICAART (3), page 395-402. SCITEPRESS, (2022)Evaluating the Impact of Text De-Identification on Downstream NLP Tasks., , , , , , , , and . NoDaLiDa, page 10-16. University of Tartu Library, (2023)LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish., , , , , , , , and . LREC, page 5080-5089. European Language Resources Association, (2022)Enhancing Text-to-SQL Translation for Financial System Design., , , , , , , , and . CoRR, (2023)Letz Translate: Low-Resource Machine Translation for Luxembourgish., , , , , and . CoRR, (2023)Towards Refined Classifications Driven by SHAP Explanations., , , , , , , , and . CD-MAKE, volume 13480 of Lecture Notes in Computer Science, page 68-81. Springer, (2022)Search-based adversarial testing and improvement of constrained credit scoring systems., , , , , , and . ESEC/SIGSOFT FSE, page 1089-1100. ACM, (2020)