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Table 5 The performance of different matching models using character-level and word-level inputs

From: Applying deep matching networks to Chinese medical question answering: a study and a dataset

Input Unit

Model

P@1(%)

MAP(%)

 

Random

20.0

45.7

Char

BM25

26.6

51.2

 

multiCNN[17]

39.8

60.1

 

MV-LSTM

58.1

74.5

 

MatchPyramid

66.0

79.3

Word

BM25

23.6

49.0

 

multiCNN[17]

40.0

60.5

 

MV-LSTM

59.3

75.3

 

MatchPyramid

58.8

74.9