Table 1

SOTA studies for different tasks discussed in this paper

TaskAuthorsDatasetMethodF-score
Biomedical NERZhao et al. [22]BC5CDR / NCBI DiseaseBiLSTM–CNN–CRF-based multi-task learning0.8763 / 0.8745
Biomedical NENZhao et al. [22]BC5CDR / NCBI DiseaseBiLSTM–CNN–CRF-based multi-task learning0.8917 / 0.8823
Relevant topic recognitionJiang et al. [23]MGI database and Mouse GXDRandom forest classifier0.923
Biomedical literature indexingDai et al. [24]PMC Open Access SubsetAttention-based CNN0.7021
PPIs extractionHsieh et al. [25]AIMed and BioInferRNNs0.769 / 0.872
Genotype-phenotype associations extractionXing et al. [26]TAIR databaseRepresentation learning0.6683
Drug-Drug interactions extractionZhang et al. [27]DDI 2013 extraction corpusHierarchical RNNs0.729
Pathway extractionPoon et al. [28]GENIA event extraction datasetDistant supervision method0.371
Hypothesis generationSang et al. [29]SemKGGraph-based link prediction0.892
TaskAuthorsDatasetMethodF-score
Biomedical NERZhao et al. [22]BC5CDR / NCBI DiseaseBiLSTM–CNN–CRF-based multi-task learning0.8763 / 0.8745
Biomedical NENZhao et al. [22]BC5CDR / NCBI DiseaseBiLSTM–CNN–CRF-based multi-task learning0.8917 / 0.8823
Relevant topic recognitionJiang et al. [23]MGI database and Mouse GXDRandom forest classifier0.923
Biomedical literature indexingDai et al. [24]PMC Open Access SubsetAttention-based CNN0.7021
PPIs extractionHsieh et al. [25]AIMed and BioInferRNNs0.769 / 0.872
Genotype-phenotype associations extractionXing et al. [26]TAIR databaseRepresentation learning0.6683
Drug-Drug interactions extractionZhang et al. [27]DDI 2013 extraction corpusHierarchical RNNs0.729
Pathway extractionPoon et al. [28]GENIA event extraction datasetDistant supervision method0.371
Hypothesis generationSang et al. [29]SemKGGraph-based link prediction0.892
Table 1

SOTA studies for different tasks discussed in this paper

TaskAuthorsDatasetMethodF-score
Biomedical NERZhao et al. [22]BC5CDR / NCBI DiseaseBiLSTM–CNN–CRF-based multi-task learning0.8763 / 0.8745
Biomedical NENZhao et al. [22]BC5CDR / NCBI DiseaseBiLSTM–CNN–CRF-based multi-task learning0.8917 / 0.8823
Relevant topic recognitionJiang et al. [23]MGI database and Mouse GXDRandom forest classifier0.923
Biomedical literature indexingDai et al. [24]PMC Open Access SubsetAttention-based CNN0.7021
PPIs extractionHsieh et al. [25]AIMed and BioInferRNNs0.769 / 0.872
Genotype-phenotype associations extractionXing et al. [26]TAIR databaseRepresentation learning0.6683
Drug-Drug interactions extractionZhang et al. [27]DDI 2013 extraction corpusHierarchical RNNs0.729
Pathway extractionPoon et al. [28]GENIA event extraction datasetDistant supervision method0.371
Hypothesis generationSang et al. [29]SemKGGraph-based link prediction0.892
TaskAuthorsDatasetMethodF-score
Biomedical NERZhao et al. [22]BC5CDR / NCBI DiseaseBiLSTM–CNN–CRF-based multi-task learning0.8763 / 0.8745
Biomedical NENZhao et al. [22]BC5CDR / NCBI DiseaseBiLSTM–CNN–CRF-based multi-task learning0.8917 / 0.8823
Relevant topic recognitionJiang et al. [23]MGI database and Mouse GXDRandom forest classifier0.923
Biomedical literature indexingDai et al. [24]PMC Open Access SubsetAttention-based CNN0.7021
PPIs extractionHsieh et al. [25]AIMed and BioInferRNNs0.769 / 0.872
Genotype-phenotype associations extractionXing et al. [26]TAIR databaseRepresentation learning0.6683
Drug-Drug interactions extractionZhang et al. [27]DDI 2013 extraction corpusHierarchical RNNs0.729
Pathway extractionPoon et al. [28]GENIA event extraction datasetDistant supervision method0.371
Hypothesis generationSang et al. [29]SemKGGraph-based link prediction0.892
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