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Found 4 papers, 2 papers with code
Deep Learning Approaches for Dynamic Mechanical Analysis of Viscoelastic Fiber Composites
The increased adoption of reinforced polymer (RP) composite materials, driven by eco-design standards, calls for a fine balance between lightness, stiffness, and effective vibration control.
Multilingual Clinical NER: Translation or Cross-lingual Transfer?
However, other methods leveraging translation models can be used to perform NER without annotated data in the target language, by either translating the training set or test set.
Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual Transformers
Namely, we find that realignment works better on tasks for which alignment is correlated with cross-lingual transfer when generalizing to a distant language and with smaller models, as well as when using a bilingual dictionary rather than FastAlign to extract realignment pairs.
Multilingual Transformer Encoders: a Word-Level Task-Agnostic Evaluation
Some Transformer-based models can perform cross-lingual transfer learning: those models can be trained on a specific task in one language and give relatively good results on the same task in another language, despite having been pre-trained on monolingual tasks only.
