How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction

26 July 2021

Papers citing "How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction"

7 / 7 papers shown

Title
Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding Jiang Li Xiangdong Su Yeyun Gong 182 0 0 20 Feb 2025
TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation Jiang Li Xiangdong Su Fujun Zhang Guanglai Gao 79 1 0 26 Jun 2023
Analogical Inference Enhanced Knowledge Graph Embedding Zhen Yao Wen Zhang Yin Hua Yufen Huang Yezhou Yang Hua-zeng Chen 83 13 0 03 Jan 2023
Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction Qin Dai Benjamin Heinzerling Kentaro Inui 69 6 0 02 Nov 2022
An Overview of Distant Supervision for Relation Extraction with a Focus on Denoising and Pre-training Methods William Hogan 59 5 0 17 Jul 2022
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion Yixin Cao Xiang Ji Xin Lv Juan-Zi Li Yonggang Wen Hanwang Zhang 117 27 0 03 Aug 2021
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs Tianming Liang Yang Liu Xiaoyan Liu Hao Zhang Gaurav Sharma Maozu Guo 99 25 0 24 May 2021