TY - GEN
T1 - Comparative Study of Single-task and Multi-task Learning on Research Protocol Document Classification
AU - Abdillah, Abid Famasya
AU - Hamidi, Mohammad Zaenuddin
AU - Anggraeni, Ratih Nur Esti
AU - Sarno, Riyanarto
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Research protocol is an important document to be scrutinized by the ethical committee. As the research proposal is growing, the necessity for quick and concise protocol review is rising. This study undergoes a comparative study of multi-task learning (MTL) and single-task learning (STL) to classify research protocol documents. We try to carry out the classification process from the summary of health research. We represent research documents as multi-label classification problems and develop a deep learning model based on MTL and STL strategies. In our evaluation, multi-task learning achieved a better result with 0.125 loss and 0.785 Jaccard score than 0.182 and 0.720 in single-task learning. In consequence, MTL has a 27% slower computation time than STL.
AB - Research protocol is an important document to be scrutinized by the ethical committee. As the research proposal is growing, the necessity for quick and concise protocol review is rising. This study undergoes a comparative study of multi-task learning (MTL) and single-task learning (STL) to classify research protocol documents. We try to carry out the classification process from the summary of health research. We represent research documents as multi-label classification problems and develop a deep learning model based on MTL and STL strategies. In our evaluation, multi-task learning achieved a better result with 0.125 loss and 0.785 Jaccard score than 0.182 and 0.720 in single-task learning. In consequence, MTL has a 27% slower computation time than STL.
KW - Multi-task learning
KW - Multilabel document classification
KW - Research protocol classification
KW - Single-task learning
UR - http://www.scopus.com/inward/record.url?scp=85123307146&partnerID=8YFLogxK
U2 - 10.1109/ICTS52701.2021.9608043
DO - 10.1109/ICTS52701.2021.9608043
M3 - Conference contribution
AN - SCOPUS:85123307146
T3 - Proceedings of 2021 13th International Conference on Information and Communication Technology and System, ICTS 2021
SP - 213
EP - 217
BT - Proceedings of 2021 13th International Conference on Information and Communication Technology and System, ICTS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Information and Communication Technology and System, ICTS 2021
Y2 - 20 October 2021 through 21 October 2021
ER -