Research Article
Supervised Learning Based Hypothesis Generation from Biomedical Literature
Table 3
Features extracted from example sentence A.
| Feature names | Feature values |
| Left words | l_the, l_most, l_representative | Words between two entity names | m_compounds, m_is, m_involved, m_in, m_antiradical | Right words | r_and, r_prooxidant, r_biological | Relationship words | involved | Protein name distance | 5 | Negative word | ā |
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