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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Bibliographic Details
Main Authors: LIU, Yongkang, FENG, Shi, GAO, Wei, WANG, Daling, ZHANG, Yifei
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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