ONTONERD is as Entity Linking for ontologies. Entity linking for ontology terms aims to associate mention in text with a knowledge base of ontologies.
Current Natural Language Processing (NLP) models for entity linking need training in annotated datasets. Such datasets are limited and costly to assemble (need domain expertise). To address this challenge, we propose to create such datasets by leveraging the information of ontologies, which is already curated by domain expertise.
Install this library:
pip install -e .
Install requirements requirements.txt and download the example data by download_data.sh .