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Graph Transformer Networks with Syntactic and Semantic Structures for
  Event Argument Extraction

Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction

26 October 2020
Amir Pouran Ben Veyseh
Tuan Ngo Nguyen
Thien Huu Nguyen
    GNN
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Papers citing "Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction"

4 / 4 papers shown
Title
DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying
DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying
Guanghui Wang
Dexi Liu
Jian-Yun Nie
Qizhi Wan
Rong Hu
Xiping Liu
Wanlong Liu
Jiaming Liu
84
0
0
22 May 2024
LasUIE: Unifying Information Extraction with Latent Adaptive
  Structure-aware Generative Language Model
LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model
Hao Fei
Shengqiong Wu
Jingye Li
Bobo Li
Fei Li
Libo Qin
Meishan Zhang
M. Zhang
Tat-Seng Chua
26
76
0
13 Apr 2023
Query and Extract: Refining Event Extraction as Type-oriented Binary
  Decoding
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding
Sijia Wang
Mo Yu
Shiyu Chang
Lichao Sun
Lifu Huang
11
61
0
14 Oct 2021
CLEVE: Contrastive Pre-training for Event Extraction
CLEVE: Contrastive Pre-training for Event Extraction
Ziqi Wang
Xiaozhi Wang
Xu Han
Yankai Lin
Lei Hou
Zhiyuan Liu
Peng Li
Juan-Zi Li
Jie Zhou
29
115
0
30 May 2021
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