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Targeted Augmentation for Low-Resource Event Extraction

Targeted Augmentation for Low-Resource Event Extraction

14 May 2024
Sijia Wang
Lifu Huang
ArXivPDFHTML

Papers citing "Targeted Augmentation for Low-Resource Event Extraction"

6 / 6 papers shown
Title
Detecting Corrupted Labels Without Training a Model to Predict
Detecting Corrupted Labels Without Training a Model to Predict
Zhaowei Zhu
Zihao Dong
Yang Liu
NoLa
138
61
0
12 Oct 2021
Gradient Imitation Reinforcement Learning for Low Resource Relation
  Extraction
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
Xuming Hu
Chenwei Zhang
Yawen Yang
Xiaohe Li
Li Lin
Lijie Wen
Philip S. Yu
49
52
0
14 Sep 2021
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection
  via Causal Intervention
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
Frustratingly Simple Few-Shot Object Detection
Frustratingly Simple Few-Shot Object Detection
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
F. I. F. Richard Yu
ObjD
75
535
0
16 Mar 2020
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
303
488
0
05 Mar 2020
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Xiaopeng Yan
Ziliang Chen
Anni Xu
Xiaoxi Wang
Xiaodan Liang
Liang Lin
ObjD
151
440
0
28 Sep 2019
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