Automatic identification of potentially contradictory claims to support systematic reviews

@article{Alamri2015AutomaticIO,
  title={Automatic identification of potentially contradictory claims to support systematic reviews},
  author={A. Alamri and Mark Stevenson},
  journal={2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  year={2015},
  pages={930-937}
}
  • A. Alamri, Mark Stevenson
  • Published 2015
  • Computer Science
  • 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Medical literature suffers from the existence of contradictory studies that make incompatible claims about the same research question. This research introduces an automatic system that detects contradiction between research claims using their assertion value with respect to a question. The system uses a machine learning algorithm (SVM) to construct a classifier that uses multiple linguistic features to recognise a claim's assertion value. The classifier is developed using a dataset consisting… Expand
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