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---
language:
- en
tags:
- NLG
- pytorch
- transformers
- BART
- Graph-to-Text
- Knowledge Graph
license: apache-2.0
datasets:
- WebNLG
- EventNarrative
---
# Model Description
We release our best performing models for the WebNLG and EventNarrative datasets from the paper GAP: *A Graph-aware Language Model Framework for
Knowledge Graph-to-Text Generation*. Our model is intended to be used on knowledge graphs in order to narrate their contents, giving a verbalization of the structured data.
# Paper
Please see our paper [here](https://arxiv.org/abs/2204.06674).
# Citation
If you found this model useful, please consider citing our paper:
```
@inproceedings{colas-etal-2022-gap,
title = "{GAP}: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation",
author = "Colas, Anthony and
Alvandipour, Mehrdad and
Wang, Daisy Zhe",
booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2022.coling-1.506",
pages = "5755--5769"
}
```
# GitHub repo
Please see our GitHub [here](https://github.com/acolas1/GAP_COLING2022). |