DialogConv: A lightweight fully convolutional network for multi-view response selection
Current end-to-end retrieval-based dialogue systems are mainly based on Recurrent Neural Networks or Transformers with attention mechanisms. Although promising results have been achieved, these models often suffer from slow inference or huge number of parameters. In this paper, we propose a novel li...
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Main Authors: | LIU, Yongkang, FENG, Shi, GAO, Wei, WANG, Daling, ZHANG, Yifei |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2022
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Online Access: | https://ink.library.smu.edu.sg/sis_research/7678 https://ink.library.smu.edu.sg/context/sis_research/article/8681/viewcontent/DialogConv.pdf |
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Institution: | Singapore Management University |
Language: | English |
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