Applying Natural Annotation and Curriculum Learning to Named Entity Recognition for Under-Resourced Languages

1 code implementation • COLING 2022 • Valeriy Lobov, Alexandra Ivoylova, Serge Sharoff

In this study we test the possibility of (1) using natural annotation to build synthetic training sets from resources not initially designed for the target downstream task and (2) employing curriculum learning methods to select the most suitable examples from synthetic training sets.

Cross-Lingual Transfer Machine Translation +3