Few-Shot Document-Level Relation Extraction

4 May 2022

Papers citing "Few-Shot Document-Level Relation Extraction"

10 / 10 papers shown

Title
Diversity Over Quantity: A Lesson From Few Shot Relation Classification Amir D. N. Cohen Shauli Ravfogel Shaltiel Shmidman Yoav Goldberg 70 0 0 06 Dec 2024
TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction Yu Zhang Zhao Kang ViT 52 1 0 01 Oct 2024
Automated Construction of Theme-specific Knowledge Graphs Linyi Ding Sizhe Zhou Jinfeng Xiao Jiawei Han 50 8 0 29 Apr 2024
Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents Hao Wang Tang Li Chenhui Chu Nengjun Zhu Rui-cang Wang Pinpin Zhu 25 0 0 23 Mar 2024
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 38 7 0 24 Oct 2023
Silver Syntax Pre-training for Cross-Domain Relation Extraction Elisa Bassignana Filip Ginter S. Pyysalo Rob van der Goot Barbara Plank LRM 27 4 0 18 May 2023
Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction Elisa Bassignana Filip Ginter S. Pyysalo Rob van der Goot Barbara Plank 29 5 0 18 May 2023
Few-Shot Document-Level Event Argument Extraction Xianjun Yang Yujie Lu Linda R. Petzold 21 16 0 06 Sep 2022
AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First -- Using Relation Extraction to Identify Entities Nicholas Popovic Walter Laurito Michael Färber 22 10 0 10 Mar 2022
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification Tianyu Gao Xu Han Hao Zhu Zhiyuan Liu Peng Li Maosong Sun Jie Zhou 211 244 0 16 Oct 2019