Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP Research

• URL: http://arxiv.org/abs/2509.09381v2
• Date: Fri, 26 Sep 2025 13:52:31 GMT
• Title: Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP Research
• Authors: Molly R Petersen, Claire E Stevenson, Lonneke van der Plas,
• Abstract summary: Analogical reasoning is an essential aspect of human cognition.<n>We show how these notions are relevant for several major challenges in NLP research, not directly related to analogy solving.<n>This may guide researchers to better optimize relational understanding in text, as opposed to relying heavily to entity-level similarity.
• Score: 1.7927296042375183
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Analogical reasoning is an essential aspect of human cognition. In this paper, we summarize key theory about the processes underlying analogical reasoning from the cognitive science literature and relate it to current research in natural language processing. While these processes can be easily linked to concepts in NLP, they are generally not viewed through a cognitive lens. Furthermore, we show how these notions are relevant for several major challenges in NLP research, not directly related to analogy solving. This may guide researchers to better optimize relational understanding in text, as opposed to relying heavily on entity-level similarity.

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