Evaluating generative models for Graph-to-Text Generation

We evaluated GPT-3 and ChatGPT on two graph-to-text generation benchmarks: AGENDA and WebNLG.

We collected the text generated by GPT-3 and ChatGPT in data.

How to cite

Please cite our work as follows:

@inproceedings{yuan-faerber-2023-evaluating,
    title = "Evaluating Generative Models for Graph-to-Text Generation",
    author = "Yuan, Shuzhou  and
      Faerber, Michael",
    editor = "Mitkov, Ruslan  and
      Angelova, Galia",
    booktitle = "Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing",
    month = sep,
    year = "2023",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Ltd., Shoumen, Bulgaria",
    url = "https://aclanthology.org/2023.ranlp-1.133",
    pages = "1256--1264",
}