From: Assessment of NER solutions against the first and second CALBC Silver Standard Corpus
Solution | PPs | CPs | Use of Training Data | PRGE | CHED | DISO | SPE |
---|---|---|---|---|---|---|
Dictionary-based concept recognition | P01 | [ / ] | UniProtKb | Jochem | UMLS | NCBI taxonomy |
P02 | [ / ] | Different resources incl. UniProtKb, EntrezGene | Jochem | UMLS | NCBI taxonomy | |
P04 | [ / ] | UniProtKb, EntrezGene | Jochem | MeSH, MedDRA, NCI, SNOMED-CT UMLS | NCI, MeSH, SNOMED-CT | |
P06 | [ / ] | |||||
P10 | [ / ] | UniProtKb, EntrezGene | NCBI taxonomy | |||
P13 | [ / ] | |||||
Indexing of tokens and terms | P15 | [ / ] | UMLS | UMLS | UMLS | UMLS |
Both, trained & rule-based solutions | P03 | [ / ] | UniProtKb, EntrezGene | Jochem | UMLS | NCBI taxonomy |
Case-based reasoning | P09 | [ / ] | UMLS | |||
CRF based, trained NER solution | P07 | [ / ] | ||||
P16 | [ / ] | Genia | UMLS | |||
P11 | YES | [ / ] | [ / ] | [ / ] | [ / ] | |
P12 | YES | [ / ] | [ / ] | [ / ] | [ / ] | |
P14 | YES | [ / ] | [ / ] | [ / ] | [ / ] |