Détail du document
Identifiant
oai:arXiv.org:2410.04148
Sujet
Computer Science - Computation and... Computer Science - Artificial Inte...Auteur
Valentino, Marco Freitas, AndréCatégorie
Computer Science
Année
2024
Date de référencement
09/10/2024
Mots clés
inference explanation-based natural language nliRésumé
Explanation constitutes an archetypal feature of human rationality, underpinning learning and generalisation, and representing one of the media supporting scientific discovery and communication.
Due to the importance of explanations in human reasoning, an increasing amount of research in Natural Language Inference (NLI) has started reconsidering the role that explanations play in learning and inference, attempting to build explanation-based NLI models that can effectively encode and use natural language explanations on downstream tasks.
Research in explanation-based NLI, however, presents specific challenges and opportunities, as explanatory reasoning reflects aspects of both material and formal inference, making it a particularly rich setting to model and deliver complex reasoning.
In this tutorial, we provide a comprehensive introduction to the field of explanation-based NLI, grounding this discussion on the epistemological-linguistic foundations of explanations, systematically describing the main architectural trends and evaluation methodologies that can be used to build systems capable of explanatory reasoning.
;Comment: Tutorial to be presented at EMNLP 2024.
Website: https://sites.google.com/view/reasoning-with-explanations
Valentino, Marco,Freitas, André, 2024, Reasoning with Natural Language Explanations
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