Task . | Authors . | Dataset . | Method . | F-score . |
---|---|---|---|---|
Biomedical NER | Zhao et al. [22] | BC5CDR / NCBI Disease | BiLSTM–CNN–CRF-based multi-task learning | 0.8763 / 0.8745 |
Biomedical NEN | Zhao et al. [22] | BC5CDR / NCBI Disease | BiLSTM–CNN–CRF-based multi-task learning | 0.8917 / 0.8823 |
Relevant topic recognition | Jiang et al. [23] | MGI database and Mouse GXD | Random forest classifier | 0.923 |
Biomedical literature indexing | Dai et al. [24] | PMC Open Access Subset | Attention-based CNN | 0.7021 |
PPIs extraction | Hsieh et al. [25] | AIMed and BioInfer | RNNs | 0.769 / 0.872 |
Genotype-phenotype associations extraction | Xing et al. [26] | TAIR database | Representation learning | 0.6683 |
Drug-Drug interactions extraction | Zhang et al. [27] | DDI 2013 extraction corpus | Hierarchical RNNs | 0.729 |
Pathway extraction | Poon et al. [28] | GENIA event extraction dataset | Distant supervision method | 0.371 |
Hypothesis generation | Sang et al. [29] | SemKG | Graph-based link prediction | 0.892 |
Task . | Authors . | Dataset . | Method . | F-score . |
---|---|---|---|---|
Biomedical NER | Zhao et al. [22] | BC5CDR / NCBI Disease | BiLSTM–CNN–CRF-based multi-task learning | 0.8763 / 0.8745 |
Biomedical NEN | Zhao et al. [22] | BC5CDR / NCBI Disease | BiLSTM–CNN–CRF-based multi-task learning | 0.8917 / 0.8823 |
Relevant topic recognition | Jiang et al. [23] | MGI database and Mouse GXD | Random forest classifier | 0.923 |
Biomedical literature indexing | Dai et al. [24] | PMC Open Access Subset | Attention-based CNN | 0.7021 |
PPIs extraction | Hsieh et al. [25] | AIMed and BioInfer | RNNs | 0.769 / 0.872 |
Genotype-phenotype associations extraction | Xing et al. [26] | TAIR database | Representation learning | 0.6683 |
Drug-Drug interactions extraction | Zhang et al. [27] | DDI 2013 extraction corpus | Hierarchical RNNs | 0.729 |
Pathway extraction | Poon et al. [28] | GENIA event extraction dataset | Distant supervision method | 0.371 |
Hypothesis generation | Sang et al. [29] | SemKG | Graph-based link prediction | 0.892 |
Task . | Authors . | Dataset . | Method . | F-score . |
---|---|---|---|---|
Biomedical NER | Zhao et al. [22] | BC5CDR / NCBI Disease | BiLSTM–CNN–CRF-based multi-task learning | 0.8763 / 0.8745 |
Biomedical NEN | Zhao et al. [22] | BC5CDR / NCBI Disease | BiLSTM–CNN–CRF-based multi-task learning | 0.8917 / 0.8823 |
Relevant topic recognition | Jiang et al. [23] | MGI database and Mouse GXD | Random forest classifier | 0.923 |
Biomedical literature indexing | Dai et al. [24] | PMC Open Access Subset | Attention-based CNN | 0.7021 |
PPIs extraction | Hsieh et al. [25] | AIMed and BioInfer | RNNs | 0.769 / 0.872 |
Genotype-phenotype associations extraction | Xing et al. [26] | TAIR database | Representation learning | 0.6683 |
Drug-Drug interactions extraction | Zhang et al. [27] | DDI 2013 extraction corpus | Hierarchical RNNs | 0.729 |
Pathway extraction | Poon et al. [28] | GENIA event extraction dataset | Distant supervision method | 0.371 |
Hypothesis generation | Sang et al. [29] | SemKG | Graph-based link prediction | 0.892 |
Task . | Authors . | Dataset . | Method . | F-score . |
---|---|---|---|---|
Biomedical NER | Zhao et al. [22] | BC5CDR / NCBI Disease | BiLSTM–CNN–CRF-based multi-task learning | 0.8763 / 0.8745 |
Biomedical NEN | Zhao et al. [22] | BC5CDR / NCBI Disease | BiLSTM–CNN–CRF-based multi-task learning | 0.8917 / 0.8823 |
Relevant topic recognition | Jiang et al. [23] | MGI database and Mouse GXD | Random forest classifier | 0.923 |
Biomedical literature indexing | Dai et al. [24] | PMC Open Access Subset | Attention-based CNN | 0.7021 |
PPIs extraction | Hsieh et al. [25] | AIMed and BioInfer | RNNs | 0.769 / 0.872 |
Genotype-phenotype associations extraction | Xing et al. [26] | TAIR database | Representation learning | 0.6683 |
Drug-Drug interactions extraction | Zhang et al. [27] | DDI 2013 extraction corpus | Hierarchical RNNs | 0.729 |
Pathway extraction | Poon et al. [28] | GENIA event extraction dataset | Distant supervision method | 0.371 |
Hypothesis generation | Sang et al. [29] | SemKG | Graph-based link prediction | 0.892 |
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