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Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards.

, , и . CoRR, (2021)

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Valentino Giarola

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Hybrid Autoregressive Solver for Scalable Abductive Natural Language Inference., , , и . CoRR, (2021)Supporting Context Monotonicity Abstractions in Neural NLI Models., , , , и . CoRR, (2021)SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data., , , , , и . SemEval@ACL, стр. 2216-2226. Association for Computational Linguistics, (2023)A Framework for Personalized and Adaptive Socially Assistive Robotics., , , , и . WOA, том 2215 из CEUR Workshop Proceedings, стр. 90-95. CEUR-WS.org, (2018)Case-Based Abductive Natural Language Inference., , и . COLING, стр. 1556-1568. International Committee on Computational Linguistics, (2022)Explainable Inference Over Grounding-Abstract Chains for Science Questions., , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 1-12. Association for Computational Linguistics, (2021)To be or not to be an Integer? Encoding Variables for Mathematical Text., , , , и . ACL (Findings), стр. 938-948. Association for Computational Linguistics, (2022)∂-Explainer: Abductive Natural Language Inference via Differentiable Convex Optimization., , , , и . CoRR, (2021)Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards., , и . CoRR, (2021)Encoding Explanatory Knowledge for Zero-shot Science Question Answering., , , и . CoRR, (2021)