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Table 7 Accuracy results for tag attributes

From: An annotation and modeling schema for prescription regimens

Choice Attributes

Baseline

Literal Fallback

Levenshtein Fallback

Classifier

form

0.597

0.944

0.965

0.944

route

0.339

0.667

0.738

0.887

side

0.792

0.935

0.173

0.935

unit

0.477

0.831

0.869

0.823

Attributes of FREQ

Baseline

Hybrid

Classifier

 

every

0.808

0.984

0.981

 

to_every

0.954

1.000

0.986

 

times_per

0.570

0.927

0.900

 

to_times_per

0.876

0.949

0.954

 

unit

0.722

0.976

0.976

 

Attributes of TIMING

Baseline

Hybrid

Classifier

 

direction

0.396

0.990

0.990

 

event

0.406

0.919

0.919

 

offset

0.480

0.883

0.742

 

to_offset

0.866

0.950

0.950

 

offset_unit

0.430

0.826

0.826

 

Numeric Attributes

Un-normalized

Normalized

  

amt

0.160

0.927

  

to_amt

0.882

0.857

  

num

0.115

0.885

  

to_num

0.836

0.885

  

quantity

0.889

1.000

  

to_quantity

1.000

1.000

  

Boolean Attributes

Baseline

Classifier

  

refill

0.333

1.000

  

subst

0.500

0.615