Table 2.
The PGN tagging solutions are incorporate different components, i.e. lexical resources or trained machine-learning based entity recognizers
|
Tagger |
Acronym |
Tagger |
Lexical |
# Lexical |
Id |
Training |
FP |
|---|---|---|---|---|---|---|---|
| name | type | resource | entries | data | filter | ||
| Banner |
|
ML |
– |
– |
No |
BC2 |
Banner |
| Chang2 |
Ch2 |
ML |
– |
– |
No |
BC2 |
Chang2 |
| Abner (BC1) |
|
ML |
– |
– |
No |
BC1 |
Abner (BC1) |
| Abner (Jnlpba) |
|
ML |
– |
– |
No |
Jnlpba |
Abner (Jnlpba) |
| SwissProt |
SP |
Lex |
SwissProt |
228,893 |
Yes |
– |
BNC |
| SwissProt (GP7) |
|
Lex |
GP7 |
868,050 |
Yes |
– |
BNC |
| BioLexicon |
|
Lex |
BioLexicon |
653,212 |
Yes |
– |
BNC |
| GeneProt 7.0 |
GP7 |
Lex |
GP7 |
1,725,500 |
Yes |
– |
BNC |
| Wh-Ukpmc |
|
Lex+ML |
SwissProt |
228,893 |
Yes |
– |
BNC, Chang2 |
| Wh-Ukpmc (GP7) |
WH7 |
Lex+ML |
GP7 |
868,050 |
Yes |
– |
BNC, Chang2 |
| Gnat (human) |
|
Lex+ML |
Human genes |
|
Yes |
BC2 |
– |
| Gnat (all) |
|
Lex+ML |
11 species |
80,000 |
Yes |
BC2 |
– |
| Gnat-GN (all) | Lex+ML | 11 species | 80,000 | Yes | BC2 | – |