Read-Agree-Predict: A Crowdsourced Approach to Discovering Relevant Primary Sources for Historians

Nai-Ching Wang, David Hicks, Paul Quigley, Kurt Luther. Read-Agree-Predict: A Crowdsourced Approach to Discovering Relevant Primary Sources for Historians. Hum. Comput., 6:147-175, 2019. [doi]

@article{WangHQL19-0,
  title = {Read-Agree-Predict: A Crowdsourced Approach to Discovering Relevant Primary Sources for Historians},
  author = {Nai-Ching Wang and David Hicks and Paul Quigley and Kurt Luther},
  year = {2019},
  doi = {10.15346/hc.v6i1.8},
  url = {https://doi.org/10.15346/hc.v6i1.8},
  researchr = {https://researchr.org/publication/WangHQL19-0},
  cites = {0},
  citedby = {0},
  journal = {Hum. Comput.},
  volume = {6},
  pages = {147-175},
}