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S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information

Jiaxin Pei, Chenliang Li
2018 Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing  
How to generate relevant and informative responses is one of the core topics in response generation area.  ...  In this paper, we propose Sequence to Sequence with Prototype Memory Network (S2SPMN) to exploit the relevant information provided by the large dialogue corpus to enhance response generation.  ...  Conclusion and Future Work In this paper, we propose S2SPMN, a simple yet effective response generation model by exploiting relevant information contained in large dialogue dataset.  ... 
doi:10.18653/v1/d18-1082 dblp:conf/emnlp/PeiL18 fatcat:f5ramdm6yzdbvglhp2vcj7lpo4