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%0 Conference Proceedings
%T A Model-Theoretic Formalization of Natural Language Inference Using Neural Network and Tableau Method
%A Saji, Ayahito
%A Kato, Yoshihide
%A Matsubara, Shigeki
%Y Dita, Shirley
%Y Trillanes, Arlene
%Y Lucas, Rochelle Irene
%S Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation
%D 2022
%8 October
%I Association for Computational Linguistics
%C Manila, Philippines
%F saji-etal-2022-model
%U https://aclanthology.org/2022.paclic-1.48
%P 430-437

Markdown (Informal)

[A Model-Theoretic Formalization of Natural Language Inference Using Neural Network and Tableau Method](https://aclanthology.org/2022.paclic-1.48) (Saji et al., PACLIC 2022)

• A Model-Theoretic Formalization of Natural Language Inference Using Neural Network and Tableau Method (Saji et al., PACLIC 2022)

ACL

• Ayahito Saji, Yoshihide Kato, and Shigeki Matsubara. 2022. A Model-Theoretic Formalization of Natural Language Inference Using Neural Network and Tableau Method. In Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, pages 430–437, Manila, Philippines. Association for Computational Linguistics.