Active Ensemble Learning for Knowledge Graph Error Detection-Reference-Cited by-同舟云学术

Active Ensemble Learning for Knowledge Graph Error Detection

Published:2023-02-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
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Author:

Dong Junnan¹^ORCID,Zhang Qinggang¹^ORCID,Huang Xiao¹^ORCID,Tan Qiaoyu²^ORCID,Zha Daochen³^ORCID,Zihao Zhao¹^ORCID

Affiliation:

1. The Hong Kong Polytechnic University, Hong Kong, China

2. Texas A&M University, College Station, TX, USA

3. Rice University, Houston, TX, USA

Funder

The Hong Kong Polytechnic University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539597.3570368

Reference53 articles.

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2. Congcong Ge , Yunjun Gao , Honghui Weng , Chong Zhang , Xiaoye Miao , and Baihua Zheng . Kgclean: An embedding powered knowledge graph cleaning framework. arXiv , 2020 . Congcong Ge, Yunjun Gao, Honghui Weng, Chong Zhang, Xiaoye Miao, and Baihua Zheng. Kgclean: An embedding powered knowledge graph cleaning framework. arXiv, 2020.

3. Knowledge Graph Embedding: A Survey of Approaches and Applications

4. Tim Dettmers , Pasquale Minervini , Pontus Stenetorp , and Sebastian Riedel . Convolutional 2d knowledge graph embeddings . In AAAI , 2018 . Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. Convolutional 2d knowledge graph embeddings. In AAAI, 2018.

5. Knowledge Graph Embedding Based Question Answering

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