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%0 Conference Proceedings
%T ALICE++: Adversarial Training for Robust and Effective Temporal Reasoning
%A Pereira, Lis
%A Cheng, Fei
%A Asahara, Masayuki
%A Kobayashi, Ichiro
%S Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation
%D 2021
%8 November
%I Association for Computational Lingustics
%C Shanghai, China
%F pereira-etal-2021-alice
%U https://aclanthology.org/2021.paclic-1.40
%P 377-386

Markdown (Informal)

[ALICE++: Adversarial Training for Robust and Effective Temporal Reasoning](https://aclanthology.org/2021.paclic-1.40) (Pereira et al., PACLIC 2021)

• ALICE++: Adversarial Training for Robust and Effective Temporal Reasoning (Pereira et al., PACLIC 2021)

ACL

• Lis Pereira, Fei Cheng, Masayuki Asahara, and Ichiro Kobayashi. 2021. ALICE++: Adversarial Training for Robust and Effective Temporal Reasoning. In Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, pages 377–386, Shanghai, China. Association for Computational Lingustics.