Saber is a deep-learning based tool for information extraction in the biomedical domain. Pull requests are welcome! Note: this is a work in progress. Many things are broken, and the codebase is not stable.

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data

The project is in the incubation stage and still under development. ForteHealth is a flexible and powerful ML workflow builder for biomedical and clinical scenarios. This is part of the CASL project: http://casl-project.ai/

Bioinformatics'2023: Consistency Enhancement of Model Prediction on Document-level Named Entity Recognition

NERO-nlp is a PyPI package for biomedical Named Entity (Recognition) Ontology

A light-weighted UMLS-based data augmentation for biomedical NLP tasks including Named Entity Recognition and sentence classification.

Named Entity Recognition using BERT

Simple exact-matching algorithm to standardise drug names appearing on the DrugBank open-access repository

Extraction of Drug-Drug Interactions from Biomedical Texts

BioNER: Named Entity Recognition in the Biomedical Domain