---
license: mit
language:
- en
pretty_name: StoryAnalogy
size_categories:
- 1K<n<10K
---

<h1 align="center">StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding</h1>
<p align="center">
    <a href="https://arxiv.org/abs/2310.12874"><img src="https://img.shields.io/badge/arXiv-2310.12874-b31b1b.svg" alt="Paper" style="display:inline"></a>
    <a href="https://aclanthology.org/2023.emnlp-main.706/"> <img alt="License" src="https://img.shields.io/static/v1?label=Pub&message=EMNLP%2723&color=blue" style="display:inline"> </a> 
    <a href="https://github.com/LFhase/PAIR"><img src="https://img.shields.io/badge/-Github-grey?logo=github" alt="Github" style="display:inline"></a>
    <a href="https://github.com/LFhase/PAIR/blob/main/LICENSE"> <img alt="License" src="https://img.shields.io/github/license/LFhase/PAIR?color=blue" style="display:inline"> </a>
    <a href="https://github.com/loginaway/StoryAnalogy/blob/main/raw/Poster%20-%20StoryAnalogy%20Deriving%20Story-level%20Analogies%20from%20Large%20Language%20Models%20to%20Unlock%20Analogical%20Understanding.pdf"> <img src="https://img.shields.io/badge/Poster-grey?logo=airplayvideo&logoColor=white" alt="Poster" style="display:inline"></a>
</div>

This is the StoryAnalogy dataset in the EMNLP'23 paper: *[StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding](https://arxiv.org/abs/2310.12874)*.

If you use this research, please cite us:
```bibtex
@inproceedings{jiayang2023storyanalogy,
  title={StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding},
  author={Jiayang, Cheng and Qiu, Lin and Chan, Tsz and Fang, Tianqing and Wang, Weiqi and Chan, Chunkit and Ru, Dongyu and Guo, Qipeng and Zhang, Hongming and Song, Yangqiu and others},
  booktitle={Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing},
  pages={11518--11537},
  year={2023}
}
```