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Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solvers


Aug 05, 2022
Mokanarangan Thayaparan, Marco Valentino, André Freitas

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Scientific Explanation and Natural Language: A Unified Epistemological-Linguistic Perspective for Explainable AI


May 05, 2022
Marco Valentino, André Freitas

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Do Transformers Encode a Foundational Ontology? Probing Abstract Classes in Natural Language


Jan 25, 2022
Mael Jullien, Marco Valentino, Andre Freitas

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Decomposing Natural Logic Inferences in Neural NLI


Dec 15, 2021
Julia Rozanova, Deborah Ferreira, Marco Valentino, Mokanrarangan Thayaparan, Andre Freitas

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Hybrid Autoregressive Solver for Scalable Abductive Natural Language Inference


Jul 25, 2021
Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas

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Encoding Explanatory Knowledge for Zero-shot Science Question Answering


May 19, 2021
Zili Zhou, Marco Valentino, Donal Landers, Andre Freitas

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Supporting Context Monotonicity Abstractions in Neural NLI Models


May 17, 2021
Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas

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* NALOMA'21 (NAtural LOgic Meets MAchine Learning) @IWCS 2021 

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


May 15, 2021
Marco Valentino, Ian Pratt-Hartmann, André Freitas

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* To appear in IWCS 2021 proceedings 

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$\partial$-Explainer: Abductive Natural Language Inference via Differentiable Convex Optimization


May 07, 2021
Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas

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