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Table 2 Performance of NER.

From: Automatic recognition of topic-classified relations between prostate cancer and genes using MEDLINE abstracts

Target Entities

Features

Precision (%)

Relative recall (%)

 

1

2

3

4

5

6

7

  

GENE

       

84.4

100.0

 

      

93.5

95.4

  

     

95.0

97.6

   

    

93.1

93.3

    

   

84.4

100.0

     

  

84.4

100.0

      

 

84.4

100.0

       

84.4

100.0

  

   

95.8

97.0

PROSTATE CANCER

       

99.2

100.0

 

      

99.3

99.8

  

     

99.3

100.0

   

    

99.3

100.0

    

   

99.2

100.0

     

  

99.2

100.0

      

 

99.2

100.0

       

99.2

100.0

  

 

 

99.3

100.0

  1. Note: 1) Bag of words (all words in co-occurrence), 2) candidate gene and prostate cancer names, 3) unigram words, 4) presence of capital letters in candidate term, 5) presence of numerical digits in candidate term, 6) presence of Greek letters in candidate term, 7) presence of affixes of candidate term.
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BMC Bioinformatics

ISSN: 1471-2105

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