Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval

@inproceedings{Liu2015RepresentationLU,
  title={Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval},
  author={Xiaodong Liu and Jianfeng Gao and Xiaodong He and Li Deng and Kevin Duh and Ye-Yi Wang},
  booktitle={HLT-NAACL},
  year={2015}
}
Methods of deep neural networks (DNNs) have recently demonstrated superior performance on a number of natural language processing tasks. However, in most previous work, the models are learned based on either unsupervised objectives, which does not directly optimize the desired task, or singletask supervised objectives, which often suffer from insufficient training data. We develop a multi-task DNN for learning representations across multiple tasks, not only leveraging large amounts of cross… CONTINUE READING
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