@inproceedings{xiao-etal-2016-transg,
title = "{T}rans{G} : A Generative Model for Knowledge Graph Embedding",
author = "Xiao, Han and
Huang, Minlie and
Zhu, Xiaoyan",
editor = "Erk, Katrin and
Smith, Noah A.",
booktitle = "Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = aug,
year = "2016",
address = "Berlin, Germany",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/fix-sig-urls/P16-1219/",
doi = "10.18653/v1/P16-1219",
pages = "2316--2325"
}
Markdown (Informal)
[TransG : A Generative Model for Knowledge Graph Embedding](https://preview.aclanthology.org/fix-sig-urls/P16-1219/) (Xiao et al., ACL 2016)
ACL
- Han Xiao, Minlie Huang, and Xiaoyan Zhu. 2016. TransG : A Generative Model for Knowledge Graph Embedding. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2316–2325, Berlin, Germany. Association for Computational Linguistics.