Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue Acts

@article{Goo2018AbstractiveDS,
  title={Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue Acts},
  author={Chih-Wen Goo and Yun-Nung Chen},
  journal={2018 IEEE Spoken Language Technology Workshop (SLT)},
  year={2018},
  pages={735-742}
}
  • Chih-Wen Goo, Yun-Nung Chen
  • Published 2018
  • Computer Science
  • 2018 IEEE Spoken Language Technology Workshop (SLT)
  • Neural abstractive summarization has been increasingly studied, where the prior work mainly focused on summarizing single-speaker documents (news, scientific publications, etc. [...] Key Result The experiments show that our proposed model significantly improves the abstractive summarization performance compared to the state-of-the-art baselines on the AMI meeting corpus, demonstrating the usefulness of the interactive signal provided by dialogue acts.1Expand Abstract

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