Looking Beyond Label Noise: Shifted Label Distribution Matters in
Distantly Supervised Relation Extraction

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Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction

19 April 2019

Xiang Ren

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Papers citing "Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction"

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Title
From Consensus to Disagreement: Multi-Teacher Distillation for Semi-Supervised Relation Extraction Wanli Li T. Qian 47 2 0 02 Dec 2021
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision Tao Shen Guodong Long Tao Shen Jing Jiang 76 1 0 19 Sep 2021
Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction Kailong Hao Botao Yu Wei Hu 74 22 0 05 Sep 2021
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction Tao Chen Haizhou Shi Siliang Tang Zhigang Chen Leilei Gan Yueting Zhuang 61 56 0 21 Jun 2021
Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training Tao Chen Haochen Shi Liyuan Liu Siliang Tang Jian Shao Zhigang Chen Yueting Zhuang 46 21 0 21 Jun 2021
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios Michael A. Hedderich Lukas Lange Heike Adel Jannik Strötgen Dietrich Klakow 356 301 0 23 Oct 2020
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering Hao Cheng Ming-Wei Chang Kenton Lee Kristina Toutanova 106 22 0 05 May 2020
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation Dong-Ho Lee Rahul Khanna Bill Yuchen Lin Jamin Chen Seyeon Lee Qinyuan Ye Elizabeth Boschee Leonardo Neves Xiang Ren 116 22 0 16 Apr 2020