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Table 3 Comparison of F-score of our disease normalization models using four biomedical text groups

From: A method for named entity normalization in biomedical articles: application to diseases and plants

Models Win Dim Method Precision Recall F-score
SSL-all abstracts 8 200 CBOW 0.627 0.832 0.715
SSL-entity abstracts 8 200 CBOW 0.633 0.838 0.721
SSL-evidences 8 200 CBOW 0.633 0.840 0.722
SSL-modified evidences 8 200 CBOW 0.706 0.891 0.788
  1. The bold font denotes the best result for each column