The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문은 에세이 내용을 자동으로 채점하는 주제 독립적인 방법을 제안합니다. 기존의 주제 의존적 방법과 달리 대상 에세이와 동일한 주제에 대해 작성된 훈련 에세이 없이 주어진 에세이의 인간이 할당한 점수를 예측합니다. 이를 달성하기 위해 이 논문에서는 주어진 에세이에서 단어가 얼마나 중요하고 관련성이 있는지 측정하는 MIDF라는 새로운 측정값을 도입합니다. 제안하는 방법은 MIDF 분포에 따라 점수를 예측한다. 놀랍게도, 실험에 따르면 제안된 방법은 0.848의 정확도를 달성하고 기존의 주제 종속 방법과 같거나 그보다 더 나은 성능을 나타냅니다.
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부
Ryo NAGATA, Jun-ichi KAKEGAWA, Yukiko YABUTA, "A Topic-Independent Method for Scoring Student Essay Content" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 2, pp. 335-340, February 2010, doi: 10.1587/transinf.E93.D.335.
Abstract: This paper proposes a topic-independent method for automatically scoring essay content. Unlike conventional topic-dependent methods, it predicts the human-assigned score of a given essay without training essays written to the same topic as the target essay. To achieve this, this paper introduces a new measure called MIDF that measures how important and relevant a word is in a given essay. The proposed method predicts the score relying on the distribution of MIDF. Surprisingly, experiments show that the proposed method achieves an accuracy of 0.848 and performs as well as or even better than conventional topic-dependent methods.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.335/_p
부
@ARTICLE{e93-d_2_335,
author={Ryo NAGATA, Jun-ichi KAKEGAWA, Yukiko YABUTA, },
journal={IEICE TRANSACTIONS on Information},
title={A Topic-Independent Method for Scoring Student Essay Content},
year={2010},
volume={E93-D},
number={2},
pages={335-340},
abstract={This paper proposes a topic-independent method for automatically scoring essay content. Unlike conventional topic-dependent methods, it predicts the human-assigned score of a given essay without training essays written to the same topic as the target essay. To achieve this, this paper introduces a new measure called MIDF that measures how important and relevant a word is in a given essay. The proposed method predicts the score relying on the distribution of MIDF. Surprisingly, experiments show that the proposed method achieves an accuracy of 0.848 and performs as well as or even better than conventional topic-dependent methods.},
keywords={},
doi={10.1587/transinf.E93.D.335},
ISSN={1745-1361},
month={February},}
부
TY - JOUR
TI - A Topic-Independent Method for Scoring Student Essay Content
T2 - IEICE TRANSACTIONS on Information
SP - 335
EP - 340
AU - Ryo NAGATA
AU - Jun-ichi KAKEGAWA
AU - Yukiko YABUTA
PY - 2010
DO - 10.1587/transinf.E93.D.335
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2010
AB - This paper proposes a topic-independent method for automatically scoring essay content. Unlike conventional topic-dependent methods, it predicts the human-assigned score of a given essay without training essays written to the same topic as the target essay. To achieve this, this paper introduces a new measure called MIDF that measures how important and relevant a word is in a given essay. The proposed method predicts the score relying on the distribution of MIDF. Surprisingly, experiments show that the proposed method achieves an accuracy of 0.848 and performs as well as or even better than conventional topic-dependent methods.
ER -