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Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference.

, и . BlackboxNLP@EMNLP, стр. 337-349. Association for Computational Linguistics, (2021)

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Koji Kameo

Koji Onoda

Koji Ota

Tomoko Kojima

Hajime Kojima

 

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Variable Handling and Compositionality: Comparing DRT and DTS., , и . J. Log. Lang. Inf., 28 (2): 261-285 (2019)Building a Video-and-Language Dataset with Human Actions for Multimodal Logical Inference., , , и . CoRR, (2021)On the Cognitive Efficacy of Euler Diagrams in Syllogistic Reasoning: A Relational Perspective., , , и . ED@Diagrams, том 854 из CEUR Workshop Proceedings, стр. 17-31. CEUR-WS.org, (2012)An Analysis of Selectional Restrictions with Dependent Type Semantics., , и . JSAI-isAI Workshops, том 10247 из Lecture Notes in Computer Science, стр. 19-32. Springer, (2016)Exploring Transitivity in Neural NLI Models through Veridicality., , и . EACL, стр. 920-934. Association for Computational Linguistics, (2021)Towards Modeling Natural Language Inferences with Part-Whole Relations using Formal Ontology and Lexical Semantics., , и . JOWO@IJCAI, том 1517 из CEUR Workshop Proceedings, CEUR-WS.org, (2015)Development of a General-Purpose Categorial Grammar Treebank., , , и . LREC, стр. 5195-5201. European Language Resources Association, (2020)The Efficacy of Euler and Venn Diagrams in Deductive Reasoning: Empirical Findings., , и . Diagrams, том 6170 из Lecture Notes in Computer Science, стр. 6-22. Springer, (2010)Two Types of Diagrammatic Inference Systems: Natural Deduction Style and Resolution Style., , и . Diagrams, том 6170 из Lecture Notes in Computer Science, стр. 99-114. Springer, (2010)Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser., , , , и . EMNLP, стр. 2236-2242. The Association for Computational Linguistics, (2016)