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Reasoning with Natural Language Explanations

文献类型： 会议论文

第一作者： Marco Valentino

作者： Marco Valentino 1 ; Andre Freitas 2 ;

作者机构： 1.Idiap Research Institute, Switzerland

2.Idiap Research Institute, Switzerland##Department of Computer Science, University of Manchester, UK##National Biomarker Centre, CRUK-MI, University of Manchester, UK

会议名称： Conference on Empirical Methods in Natural Language Processing

主办单位：

页码： 25-31

摘要： 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 reflect 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 which can be used to build systems which are capable of explanatory reasoning.

分类号： tp3

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