GSN: A Graph-Structured Network for Multi-Party Dialogues

31 May 2019Wenpeng HuZhangming ChanBing LiuDongyan ZhaoJinwen MaRui Yan

Existing neural models for dialogue response generation assume that utterances are sequentially organized. However, many real-world dialogues involve multiple interlocutors (i.e., multi-party dialogues), where the assumption does not hold as utterances from different interlocutors can occur "in parallel.".. (read more)

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