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%0 Conference Proceedings
%T Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning
%A Tang, Peggy
%A Gao, Junbin
%A Zhang, Lei
%A Wang, Zhiyong
%Y Sadat Moosavi, Nafise
%Y Gurevych, Iryna
%Y Hou, Yufang
%Y Kim, Gyuwan
%Y Kim, Young Jin
%Y Schuster, Tal
%Y Agrawal, Ameeta
%S Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada (Hybrid)
%F tang-etal-2023-efficient
%R 10.18653/v1/2023.sustainlp-1.17
%U https://aclanthology.org/2023.sustainlp-1.17
%U https://doi.org/10.18653/v1/2023.sustainlp-1.17
%P 227-238

Markdown (Informal)

[Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning](https://aclanthology.org/2023.sustainlp-1.17) (Tang et al., sustainlp 2023)

• Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning (Tang et al., sustainlp 2023)

ACL

• Peggy Tang, Junbin Gao, Lei Zhang, and Zhiyong Wang. 2023. Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning. In Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP), pages 227–238, Toronto, Canada (Hybrid). Association for Computational Linguistics.