Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction

Samuel Broscheit, Kiril Gashteovski, Yanjie Wang, Rainer Gemulla. Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction. In Dan Jurafsky, Joyce Chai, Natalie Schluter, Joel R. Tetreault, editors, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020. pages 2296-2308, Association for Computational Linguistics, 2020. [doi]

@inproceedings{BroscheitGWG20,
  title = {Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction},
  author = {Samuel Broscheit and Kiril Gashteovski and Yanjie Wang and Rainer Gemulla},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.acl-main.209/},
  researchr = {https://researchr.org/publication/BroscheitGWG20},
  cites = {0},
  citedby = {0},
  pages = {2296-2308},
  booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020},
  editor = {Dan Jurafsky and Joyce Chai and Natalie Schluter and Joel R. Tetreault},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-25-5},
}