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Table 1 Average test accuracy (in percent) by word-specific models with structure (i) through (iv), with and without layer \(\mathcal {C}\)

From: Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks

Models

with \(\mathcal {C}\)

without \(\mathcal {C}\)

Basic NN

93.40

94.25

Sum NN

93.60

94.48

Cct-V NN

94.41

94.78

Cct-T NN

94.50

94.87

Cct-T NN whole-paragh

NA

96.00

Attention cct-T whole-paragh

93.80

93.94