Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval.
Xiaodong LiuJianfeng GaoXiaodong HeLi DengKevin DuhYe-Yi WangPublished in: HLT-NAACL (2015)
Keyphrases
- multi task
- multi task learning
- learning tasks
- information retrieval
- neural network
- supervised learning
- multiple tasks
- learning problems
- learning algorithm
- feature selection
- multitask learning
- learning process
- unsupervised learning
- machine learning
- prior knowledge
- data sets
- image classification
- model selection
- kernel learning
- statistical learning
- sparse learning
- text classification
- text mining
- support vector machine
- feature vectors
- training set
- reinforcement learning
- feature extraction
- semi supervised learning
- machine learning algorithms
- class labels
- learning experience
- information extraction
- classification accuracy
- multiple kernel learning
- natural language
- data mining