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Learning Robust Representations for Continual Relation Extraction via
  Adversarial Class Augmentation

Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
10 October 2022
Peiyi Wang
Yifan Song
Tianyu Liu
Binghuai Lin
Yunbo Cao
Sujian Li
Zhifang Sui
    CLLSLR
ArXiv (abs)PDFHTML

Papers citing "Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation"

13 / 13 papers shown
Learning Wisdom from Errors: Promoting LLM's Continual Relation Learning through Exploiting Error Cases
Learning Wisdom from Errors: Promoting LLM's Continual Relation Learning through Exploiting Error Cases
Shaozhe Yin
Jinyu Guo
Kai Shuang
Xia Liu
Ruize Ou
CLLKELM
243
2
0
16 Aug 2025
Towards Lifelong Learning of Large Language Models: A Survey
Towards Lifelong Learning of Large Language Models: A Survey
Junhao Zheng
Shengjie Qiu
Chengming Shi
Qianli Ma
KELMCLL
370
84
0
10 Jun 2024
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning
  and Memory Structure Preservation
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation
Mengyi Huang
Meng Xiao
Ludi Wang
Yi Du
200
8
0
05 Mar 2024
Making Pre-trained Language Models Better Continual Few-Shot Relation
  Extractors
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors
Shengkun Ma
Jiale Han
Yi Liang
Bo Cheng
CLLVLM
273
14
0
24 Feb 2024
Learning to Learn for Few-shot Continual Active Learning
Learning to Learn for Few-shot Continual Active LearningArtificial Intelligence Review (AIR), 2023
Stella Ho
Ming Liu
Shang Gao
Longxiang Gao
KELMBDLVLMCLL
487
14
0
07 Nov 2023
Rationale-Enhanced Language Models are Better Continual Relation
  Learners
Rationale-Enhanced Language Models are Better Continual Relation LearnersConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Weimin Xiong
Yifan Song
Peiyi Wang
Sujian Li
KELMLRMCLL
241
17
0
10 Oct 2023
InfoCL: Alleviating Catastrophic Forgetting in Continual Text
  Classification from An Information Theoretic Perspective
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic PerspectiveConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yifan Song
Peiyi Wang
Weimin Xiong
Dawei Zhu
Tianyu Liu
Zhifang Sui
Sujian Li
CLL
310
11
0
10 Oct 2023
Large Language Models are not Fair Evaluators
Large Language Models are not Fair EvaluatorsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Peiyi Wang
Lei Li
Liang Chen
Zefan Cai
Dawei Zhu
Binghuai Lin
Yunbo Cao
Qi Liu
Tianyu Liu
Zhifang Sui
ALM
792
880
0
29 May 2023
RepCL: Exploring Effective Representation for Continual Text
  Classification
RepCL: Exploring Effective Representation for Continual Text Classification
Yifan Song
Peiyi Wang
Dawei Zhu
Tianyu Liu
Zhifang Sui
Sujian Li
CLL
245
1
0
12 May 2023
Enhancing Contrastive Learning with Noise-Guided Attack: Towards
  Continual Relation Extraction in the Wild
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the WildAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Ting Wu
Jingyi Liu
Rui Zheng
Tao Gui
Tao Gui
Xuanjing Huang
CLL
241
4
0
11 May 2023
Improving Continual Relation Extraction by Distinguishing Analogous
  Semantics
Improving Continual Relation Extraction by Distinguishing Analogous SemanticsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Wenzheng Zhao
Yuanning Cui
Wei Hu
CLL
231
33
0
11 May 2023
Enhancing Continual Relation Extraction via Classifier Decomposition
Enhancing Continual Relation Extraction via Classifier DecompositionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Heming Xia
Peiyi Wang
Tianyu Liu
Binghuai Lin
Yunbo Cao
Zhifang Sui
SLR
213
20
0
08 May 2023
SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition
SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Shuzheng Si
Zefan Cai
Shuang Zeng
Guoqiang Feng
Jiaxing Lin
Baobao Chang
310
7
0
06 May 2023
1
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