automated essay scoring by maximizing human-machine agreement



18.10.2013 -
Previous approaches for automated essay scoring (AES) learn a rating model by minimizing either the classification, regression, or pairwise classification loss, depending on the learning algorithm used. In this paper, we argue that the current AES systems can be further improved by taking into account the agreement
Previous approaches for automated essay scoring (AES) learn a rating model by min- imizing either the classification, regression, or pairwise classification loss, depending on the learning algorithm used. In this paper, we argue that the current AES systems can be further improved by taking into account the agreement
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Previous approaches for automated essay scoring (AES) learn a rating model by min-imizing either the classification, regression, or pairwise classification loss, depending on the learning algorithm used. In this paper, we argue that the current
Evaluation of essays using incremental training for Maximizing Human-Machine agreement. M.Tech Project Report. Submitted by. Dhananjay Ambekar .... Automated essay scoring (AES) is the use of specialized computer programs to assign grades to essays.[5]. Essays are considered as one of the best sources by
Help in writing college essays scoring by maximizing human-machine agreement an allama iqbal essay for 2nd year automated essay scoring by. Wb yeats september 1913 analysis essay dissertation methodology chapter structure practice automated essay scoring by maximizing human-machine agreement
Essay Scoring by Maximizing Human-machine Agreement (2013): > Bayesian Essay Test Scoring sYstem, developed by Larkey in 2003, is based on naive Bayesian model. It is the only open-source AES system, but has not been put into practical use yet. Se...
List of computer science publications by Hongbo Chen.
23. 24. 7. Foltz, P.W., Laham, D., Landauer, T.K.: Automated essay scoring: applications to educational technology. In: World Conference on Educational Multimedia, ... 1188–1196 (2014) Chen, H., He, B.: Automated essay scoring by maximizing human-machine agreement. In: EMNLP, pp. 1741–1752 (2013) Shermis, M.D.,
Abstract. Supervised machine learning models for automated essay scoring (AES) usually re- quire substantial task-specific training data in order to make accurate predictions for a particular writing task. This limita- tion hinders their utility, and consequently their deployment in real-world settings. In this paper, we overcome

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