Medical Named Entity Recognition

14 papers with code • 2 benchmarks • 6 datasets

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Most implemented papers

BioELECTRA:Pretrained Biomedical text Encoder using Discriminators

kamalkraj/BioELECTRA ACL Anthology 2021

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

zhoubaohang/e2emern ACL 2021

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

demdecuong/vihealthbert LREC 2022

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

adlnlp/mc-dre 12 Aug 2023

Extracting meaningful drug-related information chunks, such as adverse drug events (ADE), is crucial for preventing morbidity and saving many lives.