A Generalized Recurrent Neural Architecture for Text Classification with Multi-Task Learning.
Honglun ZhangLiqiang XiaoYongkun WangYaohui JinPublished in: CoRR (2017)
Keyphrases
- multi task learning
- neural architecture
- text classification
- feed forward
- multi task
- transfer learning
- learning tasks
- neural network
- feature selection
- multiple tasks
- gaussian processes
- text categorization
- learning problems
- text mining
- artificial neural networks
- activation function
- labeled data
- basis functions
- machine learning
- back propagation
- recurrent neural networks
- multilayer perceptron
- naive bayes
- learning algorithm
- multi label
- knn
- multi class
- inductive learning
- metric learning
- high order
- theoretical analysis
- multi layer perceptron
- linear combination
- unlabeled data
- training set
- training data