Table 1 Descriptions of datasets
From: CollaboNet: collaboration of deep neural networks for biomedical named entity recognition
Datasets | Entity type | # of sentence | # of annotations | Data Size |
|---|---|---|---|---|
NCBI-Disease (Dogan et al., 2014) | Disease | 7639 | 6881 | 793 abstracts |
JNLPBA (Kim et al., 2004) | Gene/Proteins | 22,562 | 35,336 | 2404 abstracts |
BC5CDR (Li et al., 2016) | Chemicals | 14,228 | 15,935 | 1500 articles |
BC5CDR (Li et al., 2016) | Diseases | 14,228 | 12,852 | 1500 articles |
BC4CHEMD (Krallinger et al., 2015a) | Chemicals | 86,679 | 84,310 | 10,000 abstracts |
BC2GM (Akhondi et al., 2014) | Gene/Proteins | 20,510 | 24,583 | 20,000 sentences |