Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction

3 June 2021

Papers citing "Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction"

8 / 8 papers shown

Title
CDER: Collaborative Evidence Retrieval for Document-level Relation Extraction Khai Phan Tran Xue Li 33 0 0 09 Apr 2025
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
Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction Qi Sun Kun Huang Xiaocui Yang Pengfei Hong Kun Zhang Soujanya Poria 19 8 0 18 May 2023
DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction Youmi Ma An Wang Naoaki Okazaki 28 61 0 17 Feb 2023
Multi-hop Evidence Retrieval for Cross-document Relation Extraction Keming Lu I-Hung Hsu Wenxuan Zhou Mingyu Derek Ma Muhao Chen LRM 30 11 0 21 Dec 2022
Enhancing Document-level Relation Extraction by Entity Knowledge Injection Xin-Yue Wang Zitao Wang Weijian Sun Wei Hu KELM 39 7 0 23 Jul 2022
What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification Elisa Bassignana Barbara Plank 23 21 0 28 Apr 2022
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion Yiqing Xie Jiaming Shen Sha Li Yuning Mao Jiawei Han 29 64 0 16 Jun 2021