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Neural Response Generation via GAN with an Approximate Embedding Layer
Zhen Xu
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Bingquan Liu
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Baoxun Wang
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Chengjie Sun
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Xiaolong Wang
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Zhuoran Wang
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Chao Qi
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
EMNLP |
Citations
URL
A Prospective-Performance Network to Alleviate Myopia in Beam Search for Response Generation
Zongsheng Wang
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Yunzhi Bai
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Bowen Wu
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Zhen Xu
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Zhuoran Wang
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Baoxun Wang
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Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting Method
Yahui Liu
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Wei Bi
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Jun Gao
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Xiaojiang Liu
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Jian Yao
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Shuming Shi
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Variational Autoregressive Decoder for Neural Response Generation
Jiachen Du
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Wenjie Li
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Yulan He
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Ruifeng Xu
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Lidong Bing
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Xuan Wang
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Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity
Xinnuo Xu
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Ondřej Dušek
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Ioannis Konstas
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Verena Rieser
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LSDSCC: a Large Scale Domain-Specific Conversational Corpus for Response Generation with Diversity Oriented Evaluation Metrics
Zhen Xu
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Nan Jiang
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Bingquan Liu
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Wenge Rong
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Bowen Wu
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Baoxun Wang
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Zhuoran Wang
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Xiaolong Wang
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https://tieba.baidu.com/index.html
https://github.com/
Field Of Study
Linguistic Trends
Embeddings
Task
Machine Translation
Approach
Generative Model
Language
English
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