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Exploiting the Matching Information in the Support Set for Few Shot
  Event Classification

Exploiting the Matching Information in the Support Set for Few Shot Event Classification

13 February 2020
Viet Dac Lai
Franck Dernoncourt
Thien Huu Nguyen
ArXivPDFHTML

Papers citing "Exploiting the Matching Information in the Support Set for Few Shot Event Classification"

6 / 6 papers shown
Title
HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event
  Detection with Task-Adaptive Threshold
HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold
Rui-lan Zhang
Wei Wei
Xian-Ling Mao
Rui Fang
Dangyang Chen
33
11
0
17 Oct 2022
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot
  Event Classification
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification
Peiyi Wang
Runxin Xu
Tianyu Liu
Damai Dai
Baobao Chang
Zhifang Sui
27
16
0
29 Aug 2021
Event Detection: Gate Diversity and Syntactic Importance Scoresfor Graph
  Convolution Neural Networks
Event Detection: Gate Diversity and Syntactic Importance Scoresfor Graph Convolution Neural Networks
Viet Dac Lai
Tuan Ngo Nguyen
Thien Huu Nguyen
21
96
0
27 Oct 2020
Graph Transformer Networks with Syntactic and Semantic Structures for
  Event Argument Extraction
Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction
Amir Pouran Ben Veyseh
Tuan Ngo Nguyen
Thien Huu Nguyen
GNN
39
47
0
26 Oct 2020
Extensively Matching for Few-shot Learning Event Detection
Extensively Matching for Few-shot Learning Event Detection
Viet Dac Lai
Franck Dernoncourt
Thien Huu Nguyen
24
60
0
17 Jun 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
365
11,700
0
09 Mar 2017
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