Reacubeth/ConceptGraph

1---2license: gpl-3.03---4 5## Homepage6 7Exploring and Verbalizing Academic Ideas by Concept Co-occurrence8 9[https://github.com/xyjigsaw/Kiscovery](https://github.com/xyjigsaw/Kiscovery)10 11## Evolving Concept Co-occurrence Graph12 13It is the official **Evolving Concept Co-occurrence Graph** dataset of paper *Exploring and Verbalizing Academic Ideas by Concept Co-occurrence*.14 15 16To train our model for temporal link prediction, we first collect 240 essential and common queries from 19 disciplines and one special topic (COVID-19). Then, we enter these queries into the paper database to fetch the most relevant papers between 2000 and 2021 with Elasticsearch, a modern text retrieval engine that stores and retrieves papers. Afterward, we use information extraction tools including [AutoPhrase](https://github.com/shangjingbo1226/AutoPhrase) to identify concepts. Only high-quality concepts that appear in our database will be preserved. Finally, we construct 240 evolving concept co-occurrence graphs, each containing 22 snapshots according to the co-occurrence relationship. The statistics of the concept co-occurrence graphs are provided in Appendix I.17 18Download with git, and you should install git-lfs first19 20```bash21sudo apt-get install git-lfs22# OR23brew install git-lfs24 25git lfs install26git clone https://huggingface.co/datasets/Reacubeth/ConceptGraph27```28 29## Citation30 31If you use our work in your research or publication, please cite us as follows:32 33```34@inproceedings{xu2023exploring,35  title={Exploring and Verbalizing Academic Ideas by Concept Co-occurrence},36  author={Xu, Yi and Sheng, Shuqian and Xue, Bo and Fu, Luoyi and Wang, Xinbing and Zhou, Chenghu},37  booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)},38  year={2023}39}40```41 42Please let us know if you have any questions or feedback. Thank you for your interest in our work!43 44