Medical Named Entity Recognition
14 papers with code • 2 benchmarks • 6 datasets
Latest papers
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Biomedical text mining is becoming increasingly important as the number of biomedical documents rapidly grows.
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization
State-of-the-art studies have demonstrated the superiority of joint modelling over pipeline implementation for medical named entity recognition and normalization due to the mutual benefits between the two processes.
Few-shot Learning for Named Entity Recognition in Medical Text
Deep neural network models have recently achieved state-of-the-art performance gains in a variety of natural language processing (NLP) tasks (Young, Hazarika, Poria, & Cambria, 2017).
Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility
Functioning is gaining recognition as an important indicator of global health, but remains under-studied in medical natural language processing research.