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H-FND: Hierarchical False-Negative Denoising for Distant Supervision
  Relation Extraction
v1v2 (latest)

H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation Extraction

7 December 2020
Jhih-Wei Chen
Tsu-Jui Fu
Chen-Kang Lee
Wei-Yun Ma
ArXiv (abs)PDFHTML

Papers citing "H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation Extraction"

3 / 3 papers shown
Title
Relation Extraction Across Entire Books to Reconstruct Community Networks: The AffilKG Datasets
Relation Extraction Across Entire Books to Reconstruct Community Networks: The AffilKG Datasets
Erica Cai
Sean McQuade
Kevin Young
Brendan O'Connor
82
1
0
16 May 2025
Class-Adaptive Self-Training for Relation Extraction with Incompletely
  Annotated Training Data
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data
Qingyu Tan
Lu Xu
Lidong Bing
Hwee Tou Ng
76
4
0
16 Jun 2023
Revisiting DocRED -- Addressing the False Negative Problem in Relation
  Extraction
Revisiting DocRED -- Addressing the False Negative Problem in Relation Extraction
Qingyu Tan
Lu Xu
Lidong Bing
Hwee Tou Ng
Sharifah Mahani Aljunied
106
72
0
25 May 2022
1