Evidence Types, Credibility Factors, and Patterns or Soft Rules for Weighing Conflicting Evidence: Argument Mining in the Context of Legal Rules Governing Evidence Assessment

Vern R. Walker, Dina Foerster, Julia Monica Ponce, Matthew Rosen. Evidence Types, Credibility Factors, and Patterns or Soft Rules for Weighing Conflicting Evidence: Argument Mining in the Context of Legal Rules Governing Evidence Assessment. In Noam Slonim, Ranit Aharonov, editors, Proceedings of the 5th Workshop on Argument Mining, ArgMining@EMNLP 2018, Brussels, Belgium, November 1, 2018. pages 68-78, Association for Computational Linguistics, 2018. [doi]

@inproceedings{WalkerFPR18,
  title = {Evidence Types, Credibility Factors, and Patterns or Soft Rules for Weighing Conflicting Evidence: Argument Mining in the Context of Legal Rules Governing Evidence Assessment},
  author = {Vern R. Walker and Dina Foerster and Julia Monica Ponce and Matthew Rosen},
  year = {2018},
  url = {https://aclanthology.info/papers/W18-5209/w18-5209},
  researchr = {https://researchr.org/publication/WalkerFPR18},
  cites = {0},
  citedby = {0},
  pages = {68-78},
  booktitle = {Proceedings of the 5th Workshop on Argument Mining, ArgMining@EMNLP 2018, Brussels, Belgium, November 1, 2018},
  editor = {Noam Slonim and Ranit Aharonov},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-948087-69-8},
}