Meta-Learning for Neural Relation Classification with Distant Supervision

  title={Meta-Learning for Neural Relation Classification with Distant Supervision},
  author={Zhenzhen Li and Jian-Yun Nie and Benyou Wang and Pan Du and Yu-Hui Zhang and Lixin Zou and Dongsheng Li},
  journal={Proceedings of the 29th ACM International Conference on Information \& Knowledge Management},
  • Zhenzhen LiJian-Yun Nie Dongsheng Li
  • Published 19 October 2020
  • Computer Science
  • Proceedings of the 29th ACM International Conference on Information & Knowledge Management
Distant supervision provides a means to create a large number of weakly labeled data at low cost for relation classification. However, the resulting labeled instances are very noisy, containing data with wrong labels. Many approaches have been proposed to select a subset of reliable instances for neural model training, but they still suffer from noisy labeling problem or underutilization of the weakly-labeled data. To better select more reliable training instances, we introduce a small amount… 

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