LibKGE - A knowledge graph embedding library for reproducible research

Samuel Broscheit, Daniel Ruffinelli, Adrian Kochsiek, Patrick Betz, Rainer Gemulla. LibKGE - A knowledge graph embedding library for reproducible research. In Qun Liu, David Schlangen, editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2020 - Demos, Online, November 16-20, 2020. pages 165-174, Association for Computational Linguistics, 2020. [doi]

@inproceedings{BroscheitRKBG20,
  title = {LibKGE - A knowledge graph embedding library for reproducible research},
  author = {Samuel Broscheit and Daniel Ruffinelli and Adrian Kochsiek and Patrick Betz and Rainer Gemulla},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.emnlp-demos.22/},
  researchr = {https://researchr.org/publication/BroscheitRKBG20},
  cites = {0},
  citedby = {0},
  pages = {165-174},
  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2020 - Demos, Online, November 16-20, 2020},
  editor = {Qun Liu and David Schlangen},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-62-0},
}