Utterance Rewriter

解决指代消解与信息省略问题

• Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, and Jie Zhou. 2019. Improving Multi-turn Dialogue Modelling with Utterance ReWriter.arXiv preprint arXiv:1906.07004 (2019).

• Svitlana Vakulenko, Shayne Longpre, Zhucheng Tu, and Raviteja Anantha. 2020. Question Rewriting for Conversational Question Answering. ArXivabs/2004.14652 (2020).

• Ahmed Elgohary, Denis Peskov, and Jordan L. BoydGraber. 2019. Can you unpack that? learning to
  rewrite questions-in-context. In EMNLP.

• Few-Shot Generative Conversational Query Rewriting

Pointer Networkers

• Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly. 2015. Pointer networks. In Advances in Neural Information Processing Systems, pages 2692–2700.

问题形式化

训练样本：\((H, U_n -> R)\)

前n-1轮对话：\(H = \{U_1, U_2,...,U_{N-1}\}\)

第n轮话述，即要改写的话述：\(U_n\)

改写以后的话述：\(R\)，如果不存在指代消解和实体省略情况，\(R\)就等同于\(U_n\)，即负样本。

目标：学习映射函数\(p(R|(H, U_N))\)，自动根据历史信息\(H\)重写\(U_n\)。

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