Topic Aware Neural Response Generation

@inproceedings{Xing2017TopicAN,
  title={Topic Aware Neural Response Generation},
  author={Chen Xing and Wei Chung Wu and Yu Ping Wu and Jie Liu and Yalou Huang and Ming Zhou and Wei-Ying Ma},
  booktitle={AAAI},
  year={2017}
}
We consider incorporating topic information into a sequenceto-sequence framework to generate informative and interesting responses for chatbots. To this end, we propose a topic aware sequence-to-sequence (TA-Seq2Seq) model. The model utilizes topics to simulate prior human knowledge that guides them to form informative and interesting responses in conversation, and leverages topic information in generation by a joint attention mechanism and a biased generation probability. The joint attention… CONTINUE READING
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