Knowledge Graph Entity Typing with Contrastive Learning

Author:

Zhu Guozhen1,Yao Shunyu1

Affiliation:

1. Beijing University of Posts and Telecommunications, China

Publisher

ACM

Reference27 articles.

1. Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings

2. Antoine Bordes , Nicolas Usunier , Alberto Garcia-Duran , Jason Weston , and Oksana Yakhnenko . 2013. Translating embeddings for modeling multi-relational data. Advances in neural information processing systems 26 ( 2013 ). Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. Advances in neural information processing systems 26 (2013).

3. Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment

4. Tao Chen , Haizhou Shi , Siliang Tang , Zhigang Chen , Fei Wu , and Yueting Zhuang . 2021 . CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction. arXiv preprint arXiv:2106.10855(2021). Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, and Yueting Zhuang. 2021. CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction. arXiv preprint arXiv:2106.10855(2021).

5. Hady Elsahar Christophe Gravier and Frederique Laforest. 2018. Zero-shot question generation from knowledge graphs for unseen predicates and entity types. arXiv preprint arXiv:1802.06842(2018). Hady Elsahar Christophe Gravier and Frederique Laforest. 2018. Zero-shot question generation from knowledge graphs for unseen predicates and entity types. arXiv preprint arXiv:1802.06842(2018).

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