0 references
Disease Named Entity Recognition (D-NER) Evaluation
Research Square2021
Abstract
Abstract Named Entity Recognition (NER) is a key task in Natural Language Processing (NLP). In medical domain, NER is very important phase in all end-to-end systems. In this paper, we investigate the performance of NER for disease (D-NER). TaggerOne was evaluated on 52 cardiovascular-related clinical case reports against hand annotation for diseases. Different training sets have been used to evaluate the performance of TaggerOne as a famous tool for NER in biomedical domain.
Related Papers
- → Named entity discovery using comparable news articles(2004)77 cited
- → Analysis and robust extraction of changing named entities(2009)4 cited
- → Analysis of named entity recognition & entity linking in historical text(2016)1 cited
- → Improving named entity recognition and disambiguation in news headlines(2019)