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Found 3 papers, 1 papers with code
LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish
Pre-trained Language Models such as BERT have become ubiquitous in NLP where they have achieved state-of-the-art performance in most NLP tasks.
Letz Translate: Low-Resource Machine Translation for Luxembourgish
We also make use of high-resource languages that are related or share the same linguistic root as the target LRL.
Rethinking the Event Coding Pipeline with Prompt Entailment
In this work, we propose PR-ENT, a new event coding approach that is more flexible and resource-efficient, while maintaining competitive accuracy: first, we extend an event description such as "Military injured two civilians'' by a template, e. g. "People were [Z]" and prompt a pre-trained (cloze) language model to fill the slot Z.
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