Corpus ID: 220665912

Scientific Discourse Tagging for Evidence Extraction

@inproceedings{Li2019ScientificDT,
  title={Scientific Discourse Tagging for Evidence Extraction},
  author={Xiangci Li and G. Burns and Nanyun Peng},
  year={2019}
}
  • Xiangci Li, G. Burns, Nanyun Peng
  • Published 2019
  • Computer Science
  • Evidence plays a crucial role in any biomedical research narrative, providing justification for some claims and refutation for others. We seek to build models of scientific argument using information extraction methods from full-text papers. We present the capability of automatically extracting text fragments from primary research papers that describe the evidence presented in that paper's figures, which arguably provides the raw material of any scientific argument made within the paper. We… CONTINUE READING

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