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Meta-Learning with Dynamic-Memory-Based Prototypical Network for
  Few-Shot Event Detection

Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection

25 October 2019
Shumin Deng
Ningyu Zhang
Jiaojian Kang
Yichi Zhang
Wei Zhang
Huajun Chen
ArXivPDFHTML

Papers citing "Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection"

50 / 59 papers shown
Title
SEOE: A Scalable and Reliable Semantic Evaluation Framework for Open Domain Event Detection
Yi-Fan Lu
Xian-Ling Mao
Tian Lan
Tong Zhang
Yu-Shi Zhu
Heyan Huang
57
0
0
05 Mar 2025
TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency
TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency
Henry Peng Zou
Zhengyao Gu
Yue Zhou
Yankai Chen
Weizhi Zhang
Liancheng Fang
Yibo Wang
Yangning Li
Kay Liu
Philip S. Yu
74
0
0
26 Feb 2025
Hidden Entity Detection from GitHub Leveraging Large Language Models
Hidden Entity Detection from GitHub Leveraging Large Language Models
Lu Gan
Martin Blum
Danilo Dessi
Brigitte Mathiak
Ralf Schenkel
Stefan Dietze
33
1
0
08 Jan 2025
SPEED++: A Multilingual Event Extraction Framework for Epidemic
  Prediction and Preparedness
SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness
Tanmay Parekh
Jeffrey Kwan
Jiarui Yu
Sparsh Johri
Hyosang Ahn
Sreya Muppalla
Kai-Wei Chang
Wei Wang
Nanyun Peng
45
2
0
24 Oct 2024
Beyond Exact Match: Semantically Reassessing Event Extraction by Large Language Models
Beyond Exact Match: Semantically Reassessing Event Extraction by Large Language Models
Yi-Fan Lu
Xian-Ling Mao
Tian Lan
Heyan Huang
Heyan Huang
Xiaoyan Gao
55
0
0
12 Oct 2024
Enhancing Event Reasoning in Large Language Models through Instruction
  Fine-Tuning with Semantic Causal Graphs
Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphs
Mazal Bethany
Emet Bethany
Brandon Wherry
Cho-Yu Chiang
Nishant Vishwamitra
Anthony Rios
Peyman Najafirad
LRM
34
1
0
30 Aug 2024
RAG-based Crowdsourcing Task Decomposition via Masked Contrastive
  Learning with Prompts
RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Prompts
Jing Yang
Xiao Wang
Yu Zhao
Yuhang Liu
Fei-Yue Wang
23
2
0
04 Jun 2024
Targeted Augmentation for Low-Resource Event Extraction
Targeted Augmentation for Low-Resource Event Extraction
Sijia Wang
Lifu Huang
32
1
0
14 May 2024
Class-Incremental Few-Shot Event Detection
Class-Incremental Few-Shot Event Detection
Kailin Zhao
Xiaolong Jin
Long Bai
J. Guo
Xueqi Cheng
VLM
CLL
21
0
0
02 Apr 2024
Event Detection from Social Media for Epidemic Prediction
Event Detection from Social Media for Epidemic Prediction
Tanmay Parekh
Anh Mac
Jiarui Yu
Yuxuan Dong
Syed Shahriar
...
Eric Yang
Kuan-Hao Huang
Wei Wang
Nanyun Peng
Kai-Wei Chang
37
6
0
02 Apr 2024
Continual Few-shot Event Detection via Hierarchical Augmentation
  Networks
Continual Few-shot Event Detection via Hierarchical Augmentation Networks
Chenlong Zhang
Pengfei Cao
Yubo Chen
Kang Liu
Qing Cui
Mengshu Sun
Jun Zhao
30
3
0
26 Mar 2024
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in
  Event Extraction
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction
Kuan-Hao Huang
I-Hung Hsu
Tanmay Parekh
Zhiyu Xie
Zixuan Zhang
Premkumar Natarajan
Kai-Wei Chang
Nanyun Peng
Heng Ji
29
16
0
16 Nov 2023
Instruct and Extract: Instruction Tuning for On-Demand Information
  Extraction
Instruct and Extract: Instruction Tuning for On-Demand Information Extraction
Yizhu Jiao
Ming Zhong
Sha Li
Ruining Zhao
Siru Ouyang
Heng Ji
Jiawei Han
33
24
0
24 Oct 2023
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning
Zhenrui Yue
Huimin Zeng
Mengfei Lan
Heng Ji
D. Wang
VLM
26
14
0
27 May 2023
ClusterLLM: Large Language Models as a Guide for Text Clustering
ClusterLLM: Large Language Models as a Guide for Text Clustering
Yuwei Zhang
Zihan Wang
Jingbo Shang
36
53
0
24 May 2023
SPEECH: Structured Prediction with Energy-Based Event-Centric
  Hyperspheres
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres
Shumin Deng
Shengyu Mao
Ningyu Zhang
Bryan Hooi
13
5
0
23 May 2023
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities
  and Future Opportunities
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
Yuqi Zhu
Xiaohan Wang
Jing Chen
Shuofei Qiao
Yixin Ou
Yunzhi Yao
Shumin Deng
Huajun Chen
Ningyu Zhang
LLMAG
38
110
0
22 May 2023
Recouple Event Field via Probabilistic Bias for Event Extraction
Recouple Event Field via Probabilistic Bias for Event Extraction
Xingyu Bai
Taiqiang Wu
Han Guo
Zhe Zhao
Xuefeng Yang
Jiayin Li
Weijie Liu
Qi Ju
Weigang Guo
Yujiu Yang
22
0
0
19 May 2023
MsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event
  Detection
MsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event Detection
Siyuan Wang
Jianming Zheng
Xuejun Hu
Fei Cai
Chengyu Song
Xueshan Luo
29
6
0
16 May 2023
Few-shot Event Detection: An Empirical Study and a Unified View
Few-shot Event Detection: An Empirical Study and a Unified View
Yubo Ma
Zehao Wang
Yixin Cao
Aixin Sun
57
10
0
03 May 2023
Prompt Tuning based Adapter for Vision-Language Model Adaption
Prompt Tuning based Adapter for Vision-Language Model Adaption
Jingchen Sun
Jiayu Qin
Zihao Lin
Changyou Chen
VPVLM
MLLM
VLM
34
5
0
24 Mar 2023
GLEN: General-Purpose Event Detection for Thousands of Types
GLEN: General-Purpose Event Detection for Thousands of Types
Qiusi Zhan
Sha Li
Kathryn Conger
Martha Palmer
Heng Ji
Jiawei Han
AI4TS
21
14
0
16 Mar 2023
CovidExpert: A Triplet Siamese Neural Network framework for the
  detection of COVID-19
CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19
Tareque Rahman Ornob
G. Roy
Enamul Hassan
32
12
0
17 Feb 2023
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews
Runcong Zhao
Lin Gui
Hanqi Yan
Yulan He
27
3
0
03 Jan 2023
Disentangling Task Relations for Few-shot Text Classification via
  Self-Supervised Hierarchical Task Clustering
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering
Juan Zha
Zheng Li
Ying Wei
Yu Zhang
23
5
0
16 Nov 2022
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
This Patient Looks Like That Patient: Prototypical Networks for
  Interpretable Diagnosis Prediction from Clinical Text
This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text
Betty van Aken
Jens-Michalis Papaioannou
M. Naik
G. Eleftheriadis
Wolfgang Nejdl
Felix Alexander Gers
Alexander Loser
30
10
0
16 Oct 2022
Event Extraction: A Survey
Event Extraction: A Survey
Viet Dac Lai
23
9
0
07 Oct 2022
Few-Shot Document-Level Event Argument Extraction
Few-Shot Document-Level Event Argument Extraction
Xianjun Yang
Yujie Lu
Linda R. Petzold
19
16
0
06 Sep 2022
Few-shot Incremental Event Detection
Few-shot Incremental Event Detection
Hao Wang
Hanwen Shi
Jianyong Duan
19
2
0
05 Sep 2022
Event Detection Explorer: An Interactive Tool for Event Detection
  Exploration
Event Detection Explorer: An Interactive Tool for Event Detection Exploration
Wenlong Zhang
Bhagyashree Ingale
Hamza Shabir
Tianyi Li
Tian Shi
Ping Wang
25
4
0
26 Apr 2022
P4E: Few-Shot Event Detection as Prompt-Guided Identification and
  Localization
P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization
Sha Li
Liyuan Liu
Yiqing Xie
Heng Ji
Jiawei Han
41
4
0
15 Feb 2022
Ontology-enhanced Prompt-tuning for Few-shot Learning
Ontology-enhanced Prompt-tuning for Few-shot Learning
Hongbin Ye
Ningyu Zhang
Shumin Deng
Xiang Chen
Hui Chen
Feiyu Xiong
Xi Chen
Huajun Chen
127
62
0
27 Jan 2022
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge
  Base Population
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
Ningyu Zhang
Xin Xu
Li Tao
Haiyang Yu
Hongbin Ye
...
Qiang Chen
Feiyu Xiong
Fei Huang
Guozhou Zheng
Huajun Chen
VLM
HAI
35
42
0
10 Jan 2022
Meta-learning via Language Model In-context Tuning
Meta-learning via Language Model In-context Tuning
Yanda Chen
Ruiqi Zhong
Sheng Zha
George Karypis
He He
234
156
0
15 Oct 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
92
27
0
13 Sep 2021
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot
  Learners
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
Ningyu Zhang
Luoqiu Li
Xiang Chen
Shumin Deng
Zhen Bi
Chuanqi Tan
Fei Huang
Huajun Chen
VLM
28
171
0
30 Aug 2021
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
DEGREE: A Data-Efficient Generation-Based Event Extraction Model
DEGREE: A Data-Efficient Generation-Based Event Extraction Model
I-Hung Hsu
Kuan-Hao Huang
Elizabeth Boschee
Scott Miller
Premkumar Natarajan
Kai-Wei Chang
Nanyun Peng
25
165
0
29 Aug 2021
A Survey on Deep Learning Event Extraction: Approaches and Applications
A Survey on Deep Learning Event Extraction: Approaches and Applications
Qian Li
Jianxin Li
Jiawei Sheng
Shiyao Cui
Jia Wu
...
Hao Peng
Shu Guo
Lihong Wang
Amin Beheshti
Philip S. Yu
37
45
0
05 Jul 2021
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity
  Recognition
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition
Meihan Tong
Shuai Wang
Bin Xu
Yixin Cao
Minghui Liu
Lei Hou
Juan-Zi Li
31
51
0
29 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot
  Learning for Structured Data
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data
Yang Hu
Adriane P. Chapman
Guihua Wen
Dame Wendy Hall
42
24
0
11 Jun 2021
AliCG: Fine-grained and Evolvable Conceptual Graph Construction for
  Semantic Search at Alibaba
AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba
Ningyu Zhang
Qianghuai Jia
Shumin Deng
Xiang Chen
Hongbin Ye
...
Huaixiao Tou
Gang Huang
Zhao Wang
Nengwei Hua
Huajun Chen
15
61
0
03 Jun 2021
OntoED: Low-resource Event Detection with Ontology Embedding
OntoED: Low-resource Event Detection with Ontology Embedding
Shumin Deng
Ningyu Zhang
Luoqiu Li
Hui Chen
Huaixiao Tou
Mosha Chen
Fei Huang
Huajun Chen
22
54
0
23 May 2021
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event
  Detection
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection
Shirong Shen
Tongtong Wu
Guilin Qi
Yuan-Fang Li
Gholamreza Haffari
Sheng Bi
16
40
0
20 May 2021
MLBiNet: A Cross-Sentence Collective Event Detection Network
MLBiNet: A Cross-Sentence Collective Event Detection Network
Dongfang Lou
Zhilin Liao
Shumin Deng
Ningyu Zhang
Huajun Chen
BDL
17
55
0
20 May 2021
Document-Level Event Argument Extraction by Conditional Generation
Document-Level Event Argument Extraction by Conditional Generation
Sha Li
Heng Ji
Jiawei Han
14
294
0
13 Apr 2021
Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples
  for Relation Extraction
Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction
Luoqiu Li
Xiang Chen
Zhen Bi
Xin Xie
Shumin Deng
Ningyu Zhang
Chuanqi Tan
Mosha Chen
Huajun Chen
AAML
18
7
0
01 Apr 2021
Few-Shot Event Detection with Prototypical Amortized Conditional Random
  Field
Few-Shot Event Detection with Prototypical Amortized Conditional Random Field
Xin Cong
Shiyao Cui
Yu Bowen
Tingwen Liu
Yubin Wang
Bin Wang
18
50
0
04 Dec 2020
CalibreNet: Calibration Networks for Multilingual Sequence Labeling
CalibreNet: Calibration Networks for Multilingual Sequence Labeling
Shining Liang
Linjun Shou
J. Pei
Ming Gong
Wanli Zuo
Daxin Jiang
21
8
0
11 Nov 2020
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