Balancing Cost and Quality: An Exploration of Human-in-the-Loop Frameworks for Automated Short Answer Scoring

Hiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui. Balancing Cost and Quality: An Exploration of Human-in-the-Loop Frameworks for Automated Short Answer Scoring. In Maria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova, editors, Artificial Intelligence in Education - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part I. Volume 13355 of Lecture Notes in Computer Science, pages 465-476, Springer, 2022. [doi]

@inproceedings{FunayamaSMMSI22,
  title = {Balancing Cost and Quality: An Exploration of Human-in-the-Loop Frameworks for Automated Short Answer Scoring},
  author = {Hiroaki Funayama and Tasuku Sato and Yuichiroh Matsubayashi and Tomoya Mizumoto and Jun Suzuki and Kentaro Inui},
  year = {2022},
  doi = {10.1007/978-3-031-11644-5_38},
  url = {https://doi.org/10.1007/978-3-031-11644-5_38},
  researchr = {https://researchr.org/publication/FunayamaSMMSI22},
  cites = {0},
  citedby = {0},
  pages = {465-476},
  booktitle = {Artificial Intelligence in Education - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part I},
  editor = {Maria Mercedes Rodrigo and Noburu Matsuda and Alexandra I. Cristea and Vania Dimitrova},
  volume = {13355},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-11644-5},
}