SuperChat: dialogue generation by transfer learning from vision to language using two-dimensional word embedding

@article{Sun2019SuperChatDG,
  title={SuperChat: dialogue generation by transfer learning from vision to language using two-dimensional word embedding},
  author={Baohua Sun and Lin Yang and Michael Lin and Charles Young and Jason Dong and Wenhan Zhang and Patrick Dong},
  journal={ArXiv},
  year={2019},
  volume={abs/1905.05698}
}
  • Baohua Sun, Lin Yang, +4 authors Patrick Dong
  • Published in DLP-KDD '19 2019
  • Computer Science
  • The recent work of Super Characters method using two-dimensional word embedding achieved state-of-the-art results in text classification tasks, showcasing the promise of this new approach. This paper borrows the idea of Super Characters method and two-dimensional embedding, and proposes a method of generating conversational response for open domain dialogues. The experimental results on a public dataset shows that the proposed SuperChat method generates high quality responses. An interactive… CONTINUE READING

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