TransG: A generative model for knowledge graph embedding
H. Xiao, M. Huang, and X. Zhu. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 1, page 2316--2325. (2016)
%0 Conference Paper
%1 xiao2016transg
%A Xiao, Han
%A Huang, Minlie
%A Zhu, Xiaoyan
%B Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2016
%K knowledge graph embedding transg citedby:scholar:count:15 citedby:scholar:timestamp:2017-12-22
%P 2316--2325
%T TransG: A generative model for knowledge graph embedding
%V 1
@inproceedings{xiao2016transg,
added-at = {2017-12-22T16:37:54.000+0100},
author = {Xiao, Han and Huang, Minlie and Zhu, Xiaoyan},
biburl = {https://www.bibsonomy.org/bibtex/2703a3b8bc7365e260abdd0e8d74e42a1/thoni},
booktitle = {Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
interhash = {393484b96dffd85f96ba616a68960794},
intrahash = {703a3b8bc7365e260abdd0e8d74e42a1},
keywords = {knowledge graph embedding transg citedby:scholar:count:15 citedby:scholar:timestamp:2017-12-22},
pages = {2316--2325},
timestamp = {2017-12-22T16:37:54.000+0100},
title = {TransG: A generative model for knowledge graph embedding},
volume = 1,
year = 2016
}