Crowdsourced Fact Validation for Knowledge Bases-Reference-Cited by-同舟云学术

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Crowdsourced Fact Validation for Knowledge Bases

Published:2022-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 38th International Conference on Data Engineering (ICDE)
language:
Short-container-title:

Author:

Zheng Libin¹,Cheng Peng²,Chen Lei³,Yu Jianxing¹,Lin Xuemin⁴,Yin Jian¹

Affiliation:

1. Sun Yat-sen University,Guangdong Key Laboratory of Big Data Analysis and Processing,Guangzhou,China

2. East China Normal University,Shanghai,China

3. The Hong Kong University of Science and Technology,Hong Kong,China

4. The University of New South Wales,Australia

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province of China

Australian Research Council

National Key Research and Development Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9835153/9835154/09835526.pdf?arnumber=9835526

Reference49 articles.

1. Games with a Purpose for the Semantic Web

2. Get another label? improving data quality and data mining using multiple, noisy labelers

3. Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks

4. Kgeval: Accuracy estimation of automat-ically constructed knowledge graphs;ojha;EMNLP,2017

5. User guidance for efficient fact checking

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TTAF: A two-tier task assignment framework for cooperative unit-based crowdsourcing systems;Journal of Network and Computer Applications;2023-09

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