Entropy-based Recognition of Anomalous Answers for Efficient Grading of Short Answers with an Evolutionary Clustering Algorithm

Andrew Kwok-Fai Lui, Sin Chun Ng, Stella Wing-Nga Cheung. Entropy-based Recognition of Anomalous Answers for Efficient Grading of Short Answers with an Evolutionary Clustering Algorithm. In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, Canberra, Australia, December 1-4, 2020. pages 3091-3098, IEEE, 2020. [doi]

@inproceedings{LuiNC20,
  title = {Entropy-based Recognition of Anomalous Answers for Efficient Grading of Short Answers with an Evolutionary Clustering Algorithm},
  author = {Andrew Kwok-Fai Lui and Sin Chun Ng and Stella Wing-Nga Cheung},
  year = {2020},
  doi = {10.1109/SSCI47803.2020.9308137},
  url = {https://doi.org/10.1109/SSCI47803.2020.9308137},
  researchr = {https://researchr.org/publication/LuiNC20},
  cites = {0},
  citedby = {0},
  pages = {3091-3098},
  booktitle = {2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, Canberra, Australia, December 1-4, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-2547-3},
}