StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding

Analogy-making between narratives is crucial for human reasoning. In this paper, we evaluate the ability to identify and generate analogies by constructing a first-of-its-kind large-scale story-level analogy corpus, \textsc{StoryAnalogy}, which contains 24K story pairs from diverse domains with huma...

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Veröffentlicht in:	arXiv.org 2023-10
Hauptverfasser:	Cheng Jiayang, Qiu, Lin, Tsz Ho Chan, Fang, Tianqing, Wang, Weiqi, Chan, Chunkit, Dongyu Ru, Guo, Qipeng, Zhang, Hongming, Song, Yangqiu, Zhang, Yue, Zhang, Zheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Annotations Chatbots Large language models Natural language processing
Online-Zugang:	Volltext
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