A deep-learning-based grading system (ASAG) for reading comprehension assessment by using aphorisms as open-answer-questions. Mardini, I., M., C. G. Q., Viloria-Nuñez, C., Bolivar, W. S. P., Robles, H., & Villalba, K. Educ. Inf. Technol., 29(4):4565-4590, 03, 2024.
A deep-learning-based grading system (ASAG) for reading comprehension assessment by using aphorisms as open-answer-questions. [link]Link  A deep-learning-based grading system (ASAG) for reading comprehension assessment by using aphorisms as open-answer-questions. [link]Paper  bibtex   
@article{journals/eait/MardiniMVBRV24,
  added-at = {2024-10-06T00:00:00.000+0200},
  author = {Mardini, Ivan and M., Christian G. Quintero and Viloria-Nuñez, César and Bolivar, Winston Spencer Percybrooks and Robles, Heydy and Villalba, Karen},
  biburl = {https://www.bibsonomy.org/bibtex/2fe8ecd300d6dc0d6af7826f307ccdcd7/dblp},
  ee = {https://doi.org/10.1007/s10639-023-11890-7},
  interhash = {597897b505030df244b826b71b7f1b19},
  intrahash = {fe8ecd300d6dc0d6af7826f307ccdcd7},
  journal = {Educ. Inf. Technol.},
  keywords = {dblp},
  month = {03},
  number = 4,
  pages = {4565-4590},
  timestamp = {2024-10-07T07:45:31.000+0200},
  title = {A deep-learning-based grading system (ASAG) for reading comprehension assessment by using aphorisms as open-answer-questions.},
  url = {http://dblp.uni-trier.de/db/journals/eait/eait29.html#MardiniMVBRV24},
  volume = 29,
  year = 2024
}

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