I beg to differ: how disagreement is handled in the annotation of legal machine learning data sets. Braun, D. Artif. Intell. Law, 32(3):839-862, 09, 2024.
I beg to differ: how disagreement is handled in the annotation of legal machine learning data sets. [link]Link  I beg to differ: how disagreement is handled in the annotation of legal machine learning data sets. [link]Paper  bibtex   
@article{journals/ail/Braun24,
  added-at = {2024-08-22T00:00:00.000+0200},
  author = {Braun, Daniel},
  biburl = {https://www.bibsonomy.org/bibtex/25460d7ca2ea9e98738b48cff4b55acc3/dblp},
  ee = {https://doi.org/10.1007/s10506-023-09369-4},
  interhash = {f3a3d40fa24fb42cc506e4b622d6a343},
  intrahash = {5460d7ca2ea9e98738b48cff4b55acc3},
  journal = {Artif. Intell. Law},
  keywords = {dblp},
  month = {09},
  number = 3,
  pages = {839-862},
  timestamp = {2024-08-26T07:14:46.000+0200},
  title = {I beg to differ: how disagreement is handled in the annotation of legal machine learning data sets.},
  url = {http://dblp.uni-trier.de/db/journals/ail/ail32.html#Braun24},
  volume = 32,
  year = 2024
}

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