From: A document level neural model integrated domain knowledge for chemical-induced disease relations
Methods | System | Methods | Text and concept level | P(%) | R(%) | F(%) |
---|---|---|---|---|---|---|
NN with KB | ATT_KB_sum | LSTM+CNN + CTD | Doc_E | 60.7 | 78.7 | 68.5 |
LSTM+CNN + CTD + pp |  | 63.6 | 76.8 | 69.6 | ||
Li et al. [17] | CNN | Doc_M | 57.8 | 54.2 | 55.9 | |
CNN + CTD |  | 60.0 | 81.5 | 69.1 | ||
Verga et al. [16] | Transformer | Doc_E | 55.6 | 70.8 | 62.1 | |
Transformer+ Extra data | Â | 64.0 | 69.2 | 66.2 | ||
Tradional ML with KB | Alam et al. [11] | SVM + CTD + pp | Doc_E + Sen_M | 43.7 | 80.4 | 56.6 |
Xu et al. [9] | SVM + CTD + SIDER+MEDI | Doc_E + Sen_M | 65.8 | 68.6 | 67.2 | |
Pons et al. [8] | SVM + Graph DB | Doc_E | 73.1 | 67.6 | 70.2 | |
Peng et al. [7] | SVM + CTD + Rules | Doc_E | 68.2 | 66.0 | 67.1 | |
SVM + CTD + Rules +Extra data |  | 71.1 | 72.6 | 71.8 | ||
Lowe et al. [10] | rules+Ontology+WIKI+PP | Sen_M | 59.3 | 62.3 | 60.8 | |
NN without KB | Gu et al. [13] | CNN + ME+pp | Doc_M + Sen_M | 55.7 | 68.1 | 61.3 |
Zhou et al. [12] | LSTM+SVM + pp | Sen_M | 55.6 | 68.4 | 61.3 | |
Gu et al. [18] | ME | Doc_M + Sen_M | 62.0 | 55.1 | 58.3 |