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Towards End-to-End Learning for Efficient Dialogue Agent by Modeling Looking-ahead Ability
Zhuoxuan Jiang
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Xian-Ling Mao
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Ziming Huang
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Jie Ma
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Shaochun Li
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Paper Details:
Month: September
Year: 2019
Location: Stockholm, Sweden
Venue:
WS |
SIG: SIGDIAL
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https://www.ibm.com/watson/ai-assistant/
Field Of Study
Linguistic Trends
Embeddings
Task
Language Understanding
Language Generation
ASR
Approach
Deep Learning
Dataset
Chat