Disease Named Entity Recognition (D-NER) Evaluation

DOI: https://doi.org/10.21203/rs.3.rs-911654/v1


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. 

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Competing interests: The authors declare no competing interests.