Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization

@inproceedings{Liu2021TopicAwareCL,
  title={Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization},
  author={Junpeng Liu and Yanyan Zou and Hainan Zhang and Hongshen Chen and Zhuoye Ding and Caixia Yuan and Xiaojie Wang},
  booktitle={EMNLP},
  year={2021}
}
Unlike well-structured text, such as news reports and encyclopedia articles, dialogue content often comes from two or more interlocutors, exchanging information with each other. In such a scenario, the topic of a conversation can vary upon progression and the key information for a certain topic is often scattered across multiple utterances of different speakers, which poses challenges to abstractly summarize dialogues. To capture the various topic information of a conversation and outline… 
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