Does Recommend-Revise Produce Reliable Annotations? An Analysis on
Missing Instances in DocRED

Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED

17 April 2022

Dongyan Zhao

Papers citing "Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED"

4 / 4 papers shown

Title
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction Shiao Meng Xuming Hu Aiwei Liu Shuang Li Fukun Ma Yawen Yang Lijie Wen 35 7 0 24 Oct 2023
A Comprehensive Survey of Document-level Relation Extraction (2016-2023) Lea Demelius Hanh Thi Hong Tran Roman Kern Georgeta Bordea Andreas Trügler Antoine Doucet 26 3 0 28 Sep 2023
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data Qingyu Tan Lu Xu Lidong Bing Hwee Tou Ng 18 4 0 16 Jun 2023
DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction Youmi Ma An Wang Naoaki Okazaki 25 61 0 17 Feb 2023