Table 6 Overall KBQA results (%).

From: A semantic union model for open domain Chinese knowledge base question answering

Model

Accuracy@1

Pipeline (Siamese BiLSTM)

79.53

Pipeline(BERT-Softmax)

83.39

Pipeline(Sentence-BERT)

78.15

Pipeline (CoSENT)

82.67

SUM (Siamese BiLSTM)

84.03

SUM(BERT-Softmax)

85.82

SUM(Sentence-BERT)

83.91

SUM(COSENT)

85.94