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Can Neural Networks Understand Monotonicity Reasoning?

, , , , , , and . BlackboxNLP@ACL, page 31-40. Association for Computational Linguistics, (2019)

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Towards a Wide-Coverage Tableau Method for Natural Logic.. JSAI-isAI Workshops, volume 9067 of Lecture Notes in Computer Science, page 66-82. Springer, (2014)Formal Proofs as Structured Explanations: Proposing Several Tasks on Explainable Natural Language Inference.. CoRR, (2023)What can we learn from Semantic Tagging?, , , , and . EMNLP, page 4881-4889. Association for Computational Linguistics, (2018)Learning as Abduction: Trainable Natural Logic Theorem Prover for Natural Language Inference.. *SEM@COLING, page 20-31. Association for Computational Linguistics, (2020)MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing., , , , , , , , , and . CoNLL Shared Task, page 1-22. Association for Computational Linguistics, (2020)A Tableau Prover for Natural Logic and Language.. EMNLP, page 2492-2502. The Association for Computational Linguistics, (2015)Towards Universal Semantic Tagging., and . IWCS(2), The Association for Computer Linguistics, (2017)Evaluating Scoped Meaning Representations., , , and . LREC, European Language Resources Association (ELRA), (2018)Exploring Neural Methods for Parsing Discourse Representation Structures., , , and . Trans. Assoc. Comput. Linguistics, (2018)The Parallel Meaning Bank: A Framework for Semantically Annotating Multiple Languages., , , and . CoRR, (2020)