Discovering Fine-Grained Semantics in Knowledge Graph Relations

Author:

Jain Nitisha1,Krestel Ralf2

Affiliation:

1. Hasso Plattner Institute & University of Potsdam, Potsdam, Germany

2. Leibniz Information Centre for Economics & Kiel University, Kiel, Germany

Publisher

ACM

Reference39 articles.

1. Russa Biswas , Radina Sofronova , Mehwish Alam , and Harald Sack . 2020. Entity type prediction in knowledge graphs using embeddings. arXiv preprint arXiv:2004.13702 ( 2020 ). Russa Biswas, Radina Sofronova, Mehwish Alam, and Harald Sack. 2020. Entity type prediction in knowledge graphs using embeddings. arXiv preprint arXiv:2004.13702 (2020).

2. Relational duality

3. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems. 2787--2795. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems. 2787--2795.

4. LibKGE - A knowledge graph embedding library for reproducible research

5. Jinxiu Chen , Donghong Ji , Chew Lim Tan, and Zhengyu Niu . 2005 . Unsupervised Feature Selection for Relation Extraction. In Companion Volume to the Proceedings of IJCNLP Conference including Posters/Demos and tutorial abstracts. https://aclanthology.org/I05-2045 Jinxiu Chen, Donghong Ji, Chew Lim Tan, and Zhengyu Niu. 2005. Unsupervised Feature Selection for Relation Extraction. In Companion Volume to the Proceedings of IJCNLP Conference including Posters/Demos and tutorial abstracts. https://aclanthology.org/I05-2045

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