Research Article

A Depth Evidence Score Fusion Algorithm for Chinese Medical Intelligence Question Answering System

Table 3

Accuracy comparison of different system algorithms.

SystemFeature algorithm (%)Precision (%)Recall (%)F-measure (%)

WSESAPTM73.791.881.7
S-B81.490.485.7
TA75.384.979.8
LFACS86.257.569.0

PFEGALexical features57.262.459.68
Syntactic features63.779.870.84
Semantic features71.884.677.67
Structural features68.682.274.78

DTSFAFrequency76.892.784.0
Order74.582.378.21
TF-IDF83.475.179.03
Syntax85.888.787.23
Structure72.383.477.46
Semantics80.677.278.86