Classifying protein-protein interaction articles using word and syntactic features

@inproceedings{Kim2011ClassifyingPI,
  title={Classifying protein-protein interaction articles using word and syntactic features},
  author={Sun Kim and W. John Wilbur},
  booktitle={BMC Bioinformatics},
  year={2011}
}
Identifying protein-protein interactions (PPIs) from literature is an important step in mining the function of individual proteins as well as their biological network. Since it is known that PPIs have distinctive patterns in text, machine learning approaches have been successfully applied to mine these patterns. However, the complex nature of PPI description makes the extraction process difficult. Our approach utilizes both word and syntactic features to effectively capture PPI patterns from… CONTINUE READING
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Improving protein-protein interaction article classification performance by utilizing grammatical relations

  • S Kim, WJ Wilbur
  • Proceedings of the BioCreative III:
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1 Excerpt

Results of the BioCreative III (interaction) article classification task

  • M Krallinger, M Vazquez, F Leitner, A Valencia
  • Proceedings of the BioCreative III:
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2 Excerpts

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