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📄 Abstract
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.