A Generalized Recurrent Neural Architecture for Text Classification with Multi-Task Learning.
Honglun ZhangLiqiang XiaoYongkun WangYaohui JinPublished in: IJCAI (2017)
Keyphrases
- multi task learning
- neural architecture
- text classification
- feed forward
- transfer learning
- multi task
- learning tasks
- multiple tasks
- neural network
- machine learning
- gaussian processes
- feature selection
- labeled data
- text categorization
- basis functions
- high order
- multi label
- activation function
- recurrent neural networks
- multilayer perceptron
- learning problems
- learning models
- text mining
- artificial neural networks
- back propagation
- naive bayes
- learning algorithm
- multi layer perceptron
- unlabeled data
- theoretical analysis
- k nearest neighbor
- knn
- expert systems
- regression model
- data analysis
- information extraction
- data sets