A Model-Theoretic Formalization of Natural Language Inference Using Neural Network and Tableau Method

Ayahito Saji, Yoshihide Kato, Shigeki Matsubara


Anthology ID:
2022.paclic-1.48
Volume:
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation
Month:
October
Year:
2022
Address:
Manila, Philippines
Venue:
PACLIC
SIG:
Publisher:
De La Salle University
Note:
Pages:
430–437
Language:
URL:
https://aclanthology.org/2022.paclic-1.48
DOI:
Bibkey:
Cite (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. De La Salle University.
Cite (Informal):
A Model-Theoretic Formalization of Natural Language Inference Using Neural Network and Tableau Method (Saji et al., PACLIC 2022)
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https://preview.aclanthology.org/remove-xml-comments/2022.paclic-1.48.pdf