Biomedical Named Entity Recognition

We explore the use of Support Vector Ma- chines (SVMs) for biomedical named en- tity recognition. To make the SVM train- ing with the available largest corpus – the GENIA …...

. Biomedical named entity recognition (NER) is a difficult problem in biomedical information processing due to the widespread am- biguity of terms out of context and extensive lexical variations. This …...

AbstractDomain adaptation of Pretrained Language Models (PTLMs) is typically achieved by unsupervised pretraining on target-domain text. While successful, this approach is expensive in terms of hardware, runtime and CO 2 …...