Biological event extraction using subgraph matching

@inproceedings{Liu2010BiologicalEE,
  title={Biological event extraction using subgraph matching},
  author={Haibin Liu and Vlado Keselj and Christian Blouin},
  booktitle={Semantic Mining in Biomedicine},
  year={2010}
}
An important task in biological information extraction is to identify descriptions of biological relations and events involving genes or proteins. We propose a graph-based approach to automatically learn rules for detecting biological events in the literature. The detection is performed by searching for isomorphism between event rules and the dependency graphs of complete sentences. When applying our approach to the datasets of the Task 1 of the BioNLP shared task, we achieved an 37.28% F-score… CONTINUE READING

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Pattern Learning through Distant Supervision for Extraction of Protein-Residue Associations in the Biomedical Literature

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