Towards semantically rich and recursive word learning models.
Francis MollicaSteven T. PiantadosiPublished in: CogSci (2015)
Keyphrases
- learning models
- semantically rich
- loss function
- metadata
- learning algorithm
- learning tasks
- machine learning
- semi supervised learning
- learning problems
- classification models
- machine learning algorithms
- conditional random fields
- learning paradigms
- machine learning models
- prior knowledge
- supervised learning
- evolutionary algorithm
- feature vectors
- high dimensional
- support vector
- training data