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Combining Event Semantics and Degree Semantics for Natural Language Inference.

, , and . COLING, page 1758-1764. International Committee on Computational Linguistics, (2020)

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Two Types of Diagrammatic Inference Systems: Natural Deduction Style and Resolution Style., , and . Diagrams, volume 6170 of Lecture Notes in Computer Science, page 99-114. Springer, (2010)A CCG-based Compositional Semantics and Inference System for Comparatives., , and . CoRR, (2019)Evaluating Large Language Models with NeuBAROCO: Syllogistic Reasoning Ability and Human-like Biases., , , , and . CoRR, (2023)Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser., , , , and . EMNLP, page 2236-2242. The Association for Computational Linguistics, (2016)Talking with the Theorem Prover to Interactively Solve Natural Language Inference., , and . PACLIC, page 411-420. Association for Computational Lingustics, (2021)The Efficacy of Diagrams in Syllogistic Reasoning: A Case of Linear Diagrams., and . Diagrams, volume 7352 of Lecture Notes in Computer Science, page 352-355. Springer, (2012)Human Reasoning with Proportional Quantifiers and Its Support by Diagrams., and . Diagrams, volume 9781 of Lecture Notes in Computer Science, page 123-138. Springer, (2016)Visual representation of negation: Real world data analysis on comic image design., , and . CogSci, cognitivesciencesociety.org, (2021)An Analysis of Selectional Restrictions with Dependent Type Semantics., , and . JSAI-isAI Workshops, volume 10247 of Lecture Notes in Computer Science, page 19-32. Springer, (2016)Building a Video-and-Language Dataset with Human Actions for Multimodal Logical Inference., , , and . CoRR, (2021)