Retrieval-Enhanced Adversarial Training for Neural Response Generation

@inproceedings{Zhu2019RetrievalEnhancedAT,
  title={Retrieval-Enhanced Adversarial Training for Neural Response Generation},
  author={Qingfu Zhu and Lei Cui and W. Zhang and Furu Wei and Yi-ning Chen and T. Liu},
  booktitle={ACL},
  year={2019}
}
  • Qingfu Zhu, Lei Cui, +3 authors T. Liu
  • Published in ACL 2019
  • Computer Science
  • Dialogue systems are usually built on either generation-based or retrieval-based approaches, yet they do not benefit from the advantages of different models. [...] Key Method Distinct from existing approaches, the REAT method leverages an encoder-decoder framework in terms of an adversarial training paradigm, while taking advantage of N-best response candidates from a retrieval-based system to construct the discriminator. An empirical study on a large scale public available benchmark dataset shows that the REAT…Expand Abstract
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    References

    SHOWING 1-10 OF 55 REFERENCES
    Adversarial Learning for Neural Dialogue Generation
    • 623
    • Highly Influential
    • PDF
    Adversarial Ranking for Language Generation
    • 188
    • PDF
    Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
    • 124
    • PDF
    A Diversity-Promoting Objective Function for Neural Conversation Models
    • 977
    • Highly Influential
    • PDF
    SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
    • 1,241
    • PDF
    An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems
    • 54
    • Highly Influential
    • PDF
    A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
    • 698
    • PDF