学习笔记(41)- 端到端对话系统的几个模型和数据集

端到端对话系统的模型、数据集、评测指标

模型

QRN: query-reduction networks (QRN, Seo et al. (2017)
MemNN: end-to- end memory networks (MemNN, Sukhbaatar et al. (2015))
GMemNN: gated end-to-end memory net- works (GMemNN, Liu and Perez (2017))
Seq2Seq: standard sequence-to-sequence (Seq2Seq) models with and without attention (Luong et al., 2015)
Ptr-Unk: pointer to unknown (Ptr-Unk, Gulcehre et al. (2016))
Mem2Seq:
global-to-local:
shared-private:

参考

Gulcehre, C., Ahn, S., Nallapati, R., Zhou, B., & Bengio, Y. (2016). Pointing the unknown words. 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers, 1, 140–149. https://doi.org/10.18653/v1/p16-1014
Madotto, A., Wu, C. S., & Fung, P. (2018). MEM2Seq: Effectively incorporating knowledge bases into end-to-end task-oriented dialog systems. ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), 1, 1468–1478.

数据集

bAbI Dialog
DSTC2
In-Car Assistant
metalWOZ
multiWOZ
CrossWOZ
ubuntu dialog
MuTual
SNIPS
ATIS

参考

Zhu, Q., Huang, K., Zhang, Z., Zhu, X., & Huang, M. (2020). CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset. 2. http://arxiv.org/abs/2002.11893
Cui, L., Wu, Y., Liu, S., Zhang, Y., & Zhou, M. (2020). MuTual: A Dataset for Multi-Turn Dialogue Reasoning. http://arxiv.org/abs/2004.04494

指标

Per-response/dialog Accuracy
BLEU
Entity F1

平台

plato
ConvLab

参考

Papangelis, A., Namazifar, M., Khatri, C., Wang, Y.-C., Molino, P., & Tur, G. (2020). Plato Dialogue System: A Flexible Conversational AI Research Platform. 1–13. http://arxiv.org/abs/2001.06463

原文地址:https://www.cnblogs.com/xuehuiping/p/12737594.html