The official repo for "VER: Unifying Verbalizing Entities and Relations" (Findings of EMNLP '23)
We pretrain VER🗣️: A Unified Model for Verbalizing Entities and Relations. The model takes any entity or entity set as input and generates a sentence to represent the entities and relations.
See requirements.txt.
We release the [RE]VER-base models on this link and the [RE]VER-large models on this link.
The WiV data are available on this link.
You may refer to the preprocessing script on this repo.
bash train.sh
You can find other scripts (e.g., evaluation) on this repo.
The details of this repo are described in the following paper:
@inproceedings{huang2023ver,
title={VER: Unifying Verbalizing Entities and Relations},
author={Huang, Jie and Chang, Kevin Chen-Chuan},
booktitle={Findings of the Association for Computational Linguistics: EMNLP 2023},
pages={15700--15710},
year={2023}
}