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 |
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