Towards the Automated Evaluation of Crowd Work: Machine-Learning Based Classification of Complex Texts Simplified by Laymen.
Holger HoffmannAngelika C. BullingerChristiane FellbaumPublished in: HICSS (2013)
Keyphrases
- machine learning
- machine learning methods
- decision trees
- text classification
- pattern recognition
- machine learning algorithms
- automated classification
- classification accuracy
- supervised machine learning
- support vector machine
- supervised learning
- supervised classification
- feature selection
- automatic classification
- complex systems
- image classification
- learning algorithm
- machine learning approaches
- classification algorithm
- support vector machine svm
- computational intelligence
- neural network
- support vector
- natural language
- feature extraction
- document classification
- training data
- learning tasks
- reinforcement learning
- classification method
- decision rules
- semi automated
- model selection
- real world
- training set
- data mining
- classification process
- feature construction
- classification scheme
- machine learning models
- data sets
- statistical learning
- kernel methods
- inductive learning
- pattern classification
- information extraction
- data analysis
- preprocessing
- semi supervised learning
- labeled data
- knowledge acquisition
- feature space
- active learning
- natural language processing