Обучение с низкими ресурсами
method
ID: lowresourcelearning
Related Papers
Supervised Morphological Segmentation in a Low-Resource Learning Setting using Conditional Random Fields
We discuss data-driven morphological segmentation, in which word forms are segmented into morphs, the surface forms of morphemes. Our focus is on a low- resource learning setting, in which only …...
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages
AbstractMultilingual transformer models like mBERT and XLM-RoBERTa have obtained great improvements for many NLP tasks on a variety of languages. However, recent works also showed that results from high-resource languages …...