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    <abstract>Data collection for the knowledge graph-to-text generation is expensive. As a result, research on unsupervised models has emerged as an active field recently. However, most unsupervised models have to use non-parallel versions of existing small supervised datasets, which largely constrain their potential. In this paper, we propose a large-scale, general-domain dataset, GenWiki. Our unsupervised dataset has 1.3M text and graph examples, respectively. With a human-annotated test set, we provide this new benchmark dataset for future research on unsupervised text generation from knowledge graphs.</abstract>
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%0 Conference Proceedings
%T GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation
%A Jin, Zhijing
%A Guo, Qipeng
%A Qiu, Xipeng
%A Zhang, Zheng
%S Proceedings of the 28th International Conference on Computational Linguistics
%D 2020
%8 dec
%I International Committee on Computational Linguistics
%C Barcelona, Spain (Online)
%F jin-etal-2020-genwiki
%X Data collection for the knowledge graph-to-text generation is expensive. As a result, research on unsupervised models has emerged as an active field recently. However, most unsupervised models have to use non-parallel versions of existing small supervised datasets, which largely constrain their potential. In this paper, we propose a large-scale, general-domain dataset, GenWiki. Our unsupervised dataset has 1.3M text and graph examples, respectively. With a human-annotated test set, we provide this new benchmark dataset for future research on unsupervised text generation from knowledge graphs.
%R 10.18653/v1/2020.coling-main.217
%U https://aclanthology.org/2020.coling-main.217
%U https://doi.org/10.18653/v1/2020.coling-main.217
%P 2398-2409

Markdown (Informal)

[GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation](https://aclanthology.org/2020.coling-main.217) (Jin et al., COLING 2020)

• GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation (Jin et al., COLING 2020)

ACL

• Zhijing Jin, Qipeng Guo, Xipeng Qiu, and Zheng Zhang. 2020. GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation. In Proceedings of the 28th International Conference on Computational Linguistics, pages 2398–2409, Barcelona, Spain (Online). International Committee on Computational Linguistics.