Medical Named Entity Recognition
14 papers with code • 2 benchmarks • 6 datasets
Most implemented papers
BioELECTRA:Pretrained Biomedical text Encoder using Discriminators
We introduce BioELECTRA, a biomedical domain-specific language encoder model that adapts ELECTRA for the Biomedical domain.
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization
Medical named entity recognition (NER) and normalization (NEN) are fundamental for constructing knowledge graphs and building QA systems.
ViHealthBERT: Pre-trained Language Models for Vietnamese in Health Text Mining
We introduce ViHealthBERT, the first domain-specific pre-trained language model for Vietnamese healthcare.
MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction
Extracting meaningful drug-related information chunks, such as adverse drug events (ADE), is crucial for preventing morbidity and saving many lives.