Research Article
A Relation Extraction Framework for Biomedical Text Using Hybrid Feature Set
Table 3
GENIA tagger output on the example sentence.
| Word | Base form | POS | Chunk | Named entity | Open NLP |
| Only | Only | RB | B-NP | O | B-NP | Two | Two | CD | I-NP | O | I-NP | Protein | Protein | NN | I-NP | B-protein | I-NP | Subunits | Subunit | NNS | I-NP | I-protein | I-NP | Pop1p | Pop1p | NN | B-NP | O | B-NP | And | And | CC | I-NP | O | I-NP | Pop4p | Pop4p | NN | I-NP | O | I-NP | Specifically | Specifically | RB | B-ADVP | O | B-ADVP | Bind | Bind | VBP | B-VP | O | B-VP | The | The | DT | B-NP | O | B-NP | RNA | RNA | NN | I-NP | B-protein | I-NP | Subunit | Subunit | NN | I-NP | I-protein | I-NP |
|
|