Table 2 The PGN tagging solutions are incorporate different components, i.e. lexical resources or trained machine-learning based entity recognizers
From: Evaluating gold standard corpora against gene/protein tagging solutions and lexical resources
Tagger | Acronym | Tagger | Lexical | # Lexical | Id | Training | FP |
|---|---|---|---|---|---|---|---|
name | Â | type | resource | entries | Â | 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 | – |