Neural Automated Essay Scoring for Improved Confidence Estimation and Score Prediction Through Integrated Classification and Regression.
Masaki UtoYuto TakahashiPublished in: AIED Companion (1) (2024)
Keyphrases
- automated classification
- confidence scores
- support vector
- confidence estimates
- target variable
- regression problems
- model selection
- machine learning
- support vector machine svm
- neural network
- classification accuracy
- radial basis function network
- density estimation
- pattern recognition
- neural networks and support vector machines
- feature selection
- classification algorithm
- prediction accuracy
- pattern classification
- nonparametric regression
- network architecture
- feature vectors
- regression model
- text classification
- conformal prediction
- classification and regression problems
- multiple linear regression
- decision trees
- feature extraction
- linear regression model
- semi parametric
- supervised learning
- prediction error
- classification models
- cross validation