Cross-Language Transfer of High-Quality Annotations: Combining Neural Machine Translation with Cross-Linguistic Span Alignment to Apply NER to Clinical Texts in a Low-Resource Language

1 code implementation • NAACL (ClinicalNLP) 2022 • Henning Schäfer, Ahmad Idrissi-Yaghir, Peter Horn, Christoph Friedrich

In this work, cross-linguistic span prediction based on contextualized word embedding models is used together with neural machine translation (NMT) to transfer and apply the state-of-the-art models in natural language processing (NLP) to a low-resource language clinical corpus.

Machine Translation NER +3