---
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).