Table 4 A comparison of works on the corpus building of CDRs
From: RCorp: a resource for chemical disease semantic extraction in Chinese
Corpus or author name | Language | Dictionary | Sources | Scale | Text boundary | Annotation results |
|---|---|---|---|---|---|---|
Roberts [11] | en | UMLS | clinical text | 150 | sentence | Condition, intervention, drug, locus and their interaction relations |
i2b2/VA [12] | en | – | clinical text | 871 | sentence | Relation types that hold between medical problems, tests, and treatments |
EU-ADR [13] | en | MeSH/UMLS++ [23] | abstracts | 300 | sentence | Drugs, disorders, targets and their inter-relationships |
Rosario [14] | en | MeSH | abstracts | 3495 sentences | sentence | Relationships between treatment and disease |
IxaMed-GS [24] | spa | SNOMED CT | Clinical text | 75 docs/5410 sentences | document | Relationships between entities indicating adverse drug reaction events |
BioCreative CDR [16] | en | MESH [25] | abstracts | 1500 | document | Relationships between chemicals and diseases (CID) |
RCorp | cn | CMESH [19] | abstracts | 339 | document | Relationships between chemicals and diseases (CTD) |