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Introductory Tutorial: Reasoning with Natural Language Explanations (2024.emnlp-tutorials)

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Challenge: Existing paradigms for explanation-based NLIs lack a clear understanding of the nature of human reasoning.
Approach: They propose to use natural language explanations to build models that address downstream tasks through explicit construction of a natural language.
Outcome: In contrast to the existing paradigm based on Deep Learning, explanation-based NLI focuses on developing and evaluating models that address downstream tasks through the explicit construction of a natural language explanation.

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