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Table 2 Area under learning curve (ALC) for different methods aggregated over all diseases

From: When BERT meets Bilbo: a learning curve analysis of pretrained language model on disease classification

Method HaoDaiFu (all 805 diseases) ChinaRe (all 44 diseases)
BOW 0.4158 0.8534
BOW_EXP 0.4266a 0.8934a
BOW_EXP_KG 0.4254a 0.8940a
CBOW 0.2097 0.5817
CBOW_KG 0.2064 0.5714
LSTM 0.2013 0.6064
LSTM_KG 0.0377 0.6243
BERT 0.5020ab 0.9551ab
  1. FigureĀ 2 plots the learning curves
  2. aResult significantly higher than BOW
  3. bResult significantly higher than BOW_EXP_KG. (Fisher's randomization test, significance level \({\upalpha } = 0.05\))