TY - GEN
T1 - Assessment of Indonesian Short Essay using Transfer Learning Siamese Dependency Tree-LSTM
AU - Wiratmo, Agung
AU - Fatichah, Chastine
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/10
Y1 - 2020/11/10
N2 - The automatic short essay assessment is considering many aspects, not only the student's answer, but also the teacher marking rubrics for getting precise answers. Sometimes the marking rubrics are not used, instead, the teacher only used a single precise answer so that condition raises scoring ambiguity. This paper presents some precise answers for a fair assessment and discovers the important representation of the answer using grammatical dependency. Grammatical used to overcome uncertainty relation word in answer. The precise answers as the correct answer tolerance and student answers are used as the new input pair. Due to the Indonesian short essay is a lack, transfer learning is carried out. In this paper, we present a transfer learning using Siamese dependency tree-LSTM for obtaining the assessment score. The evaluation of the proposed method using Quadratic Weighted Kappa and accuracy that is 85.74% and 70.80%, respectively.
AB - The automatic short essay assessment is considering many aspects, not only the student's answer, but also the teacher marking rubrics for getting precise answers. Sometimes the marking rubrics are not used, instead, the teacher only used a single precise answer so that condition raises scoring ambiguity. This paper presents some precise answers for a fair assessment and discovers the important representation of the answer using grammatical dependency. Grammatical used to overcome uncertainty relation word in answer. The precise answers as the correct answer tolerance and student answers are used as the new input pair. Due to the Indonesian short essay is a lack, transfer learning is carried out. In this paper, we present a transfer learning using Siamese dependency tree-LSTM for obtaining the assessment score. The evaluation of the proposed method using Quadratic Weighted Kappa and accuracy that is 85.74% and 70.80%, respectively.
KW - Automatic assessment
KW - short essay assessment
KW - siamese dependency tree-LSTM
KW - transfer learning
UR - http://www.scopus.com/inward/record.url?scp=85099468879&partnerID=8YFLogxK
U2 - 10.1109/ICICoS51170.2020.9299044
DO - 10.1109/ICICoS51170.2020.9299044
M3 - Conference contribution
AN - SCOPUS:85099468879
T3 - ICICoS 2020 - Proceeding: 4th International Conference on Informatics and Computational Sciences
BT - ICICoS 2020 - Proceeding
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Informatics and Computational Sciences, ICICoS 2020
Y2 - 10 November 2020 through 11 November 2020
ER -