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.
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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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