A Survey on Deep Learning Event Extraction: Approaches and Applications

A Survey on Deep Learning Event Extraction: Approaches and Applications

5 July 2021

Hao Peng

Philip S. Yu

Papers citing "A Survey on Deep Learning Event Extraction: Approaches and Applications"

10 / 10 papers shown

Title
Easy-to-Hard Learning for Information Extraction Chang Gao Wenxuan Zhang Wai Lam Lidong Bing SyDa 32 11 0 16 May 2023
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning Cheng Ji Jianxin Li Hao Peng Jia Wu Xingcheng Fu Qingyun Sun Phillip S. Yu SSL CLL 8 5 0 28 Jan 2023
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems Qian Li Jianxin Li Lihong Wang Cheng Ji Yiming Hei Jiawei Sheng Qingyun Sun Shan Xue P. Xie 16 8 0 15 Nov 2022
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention Jiawei Chen Hongyu Lin Xianpei Han Le Sun 87 27 0 13 Sep 2021
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification Ting Jiang Deqing Wang Leilei Sun Huayi Yang Zhengyang Zhao Fuzhen Zhuang VLM 110 136 0 09 Jan 2021
Label Confusion Learning to Enhance Text Classification Models Biyang Guo Songqiao Han Xiao Han Hailiang Huang Ting Lu 55 67 0 09 Dec 2020
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies Kung-Hsiang Huang Nanyun Peng 24 35 0 24 Oct 2020
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion Jiawei Sheng Shu Guo Zhenyu Chen Juwei Yue Lihong Wang Tingwen Liu Hongbo Xu 99 114 0 19 Oct 2020
Semi-Supervised Event Extraction with Paraphrase Clusters James Ferguson Colin Lockard Daniel S. Weld Hannaneh Hajishirzi 41 39 0 26 Aug 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017