Active learning-based information structure analysis of full scientific articles and two applications for biomedical literature review

@article{Guo2013ActiveLI,
  title={Active learning-based information structure analysis of full scientific articles and two applications for biomedical literature review},
  author={Yufan Guo and Ilona Silins and Ulla Stenius and Anna Korhonen},
  journal={Bioinformatics},
  year={2013},
  volume={29 11},
  pages={1440-7}
}
MOTIVATION Techniques that are capable of automatically analyzing the information structure of scientific articles could be highly useful for improving information access to biomedical literature. However, most existing approaches rely on supervised machine learning (ML) and substantial labeled data that are expensive to develop and apply to different sub-fields of biomedicine. Recent research shows that minimal supervision is sufficient for fairly accurate information structure analysis of… CONTINUE READING
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