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Few-shot Named Entity Recognition with Entity-level Prototypical Network
  Enhanced by Dispersedly Distributed Prototypes

Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes

International Conference on Computational Linguistics (COLING), 2022
17 August 2022
Shezheng Song
Shasha Li
Shaoduo Gan
Jie Yu
Jun Ma
Bin Ji
ArXiv (abs)PDFHTMLGithub

Papers citing "Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes"

17 / 17 papers shown
ReProCon: Scalable and Resource-Efficient Few-Shot Biomedical Named Entity Recognition
ReProCon: Scalable and Resource-Efficient Few-Shot Biomedical Named Entity Recognition
Jeongkyun Yoo
Nela Riddle
Andrew Hoblitzell
112
0
0
22 Aug 2025
FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework
FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework
Ibrahim Bouabdallaoui
Fatima Guerouate
Samya Bouhaddour
C. Saadi
Mohammed Sbihi
244
1
0
04 Feb 2025
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
BANER: Boundary-Aware LLMs for Few-Shot Named Entity RecognitionInternational Conference on Computational Linguistics (COLING), 2024
Quanjiang Guo
Yihong Dong
Ling Tian
Zhao Kang
Yu Zhang
Sijie Wang
378
8
0
03 Dec 2024
Fighting Against the Repetitive Training and Sample Dependency Problem
  in Few-shot Named Entity Recognition
Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity RecognitionIEEE Access (IEEE Access), 2024
Chang Tian
Wenpeng Yin
Dan Li
Marie-Francine Moens
350
8
0
08 Jun 2024
Prototypical Reward Network for Data-Efficient RLHF
Prototypical Reward Network for Data-Efficient RLHFAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Jinghan Zhang
Xiting Wang
Yiqiao Jin
Changyu Chen
Xinhao Zhang
Kunpeng Liu
ALM
359
31
0
06 Jun 2024
MetaIE: Distilling a Meta Model from LLM for All Kinds of Information
  Extraction Tasks
MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks
Letian Peng
Zilong Wang
Feng Yao
Zihan Wang
Jingbo Shang
SyDa
215
25
0
30 Mar 2024
Few-shot Named Entity Recognition via Superposition Concept
  Discrimination
Few-shot Named Entity Recognition via Superposition Concept Discrimination
Jiawei Chen
Hongyu Lin
Xianpei Han
Yaojie Lu
Shanshan Jiang
Bin Dong
Le Sun
251
4
0
25 Mar 2024
Large-Scale Label Interpretation Learning for Few-Shot Named Entity
  Recognition
Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition
Jonas Golde
Felix Hamborg
Alan Akbik
346
4
0
21 Mar 2024
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through
  Text Reconstruction
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction
Qingyun Wang
Zixuan Zhang
Hongxiang Li
Xuan Liu
Jiawei Han
Huimin Zhao
Heng Ji
370
3
0
18 Jan 2024
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse
  Finetuning
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse FinetuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Sarkar Snigdha Sarathi Das
Ranran Haoran Zhang
Peng Shi
Wenpeng Yin
Rui Zhang
357
24
0
07 Nov 2023
HierarchicalContrast: A Coarse-to-Fine Contrastive Learning Framework
  for Cross-Domain Zero-Shot Slot Filling
HierarchicalContrast: A Coarse-to-Fine Contrastive Learning Framework for Cross-Domain Zero-Shot Slot Filling
Junwen Zhang
Yin Zhang
BDL
267
5
0
13 Oct 2023
How far is Language Model from 100% Few-shot Named Entity Recognition in
  Medical Domain
How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain
Mingchen Li
Rui Zhang
470
28
0
01 Jul 2023
TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named
  Entity Recognition
TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity RecognitionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Jiang-Dong Liu
Hao Fei
Fei Li
Jingye Li
Bobo Li
Liang Zhao
Chong Teng
Donghong Ji
VLM
138
15
0
06 Jun 2023
W-procer: Weighted Prototypical Contrastive Learning for Medical
  Few-Shot Named Entity Recognition
W-procer: Weighted Prototypical Contrastive Learning for Medical Few-Shot Named Entity Recognition
Mingchen Li
Yang Ye
Jeremy Yeung
Huixue Zhou
Huaiyuan Chu
Rui Zhang
428
3
0
29 May 2023
Learning In-context Learning for Named Entity Recognition
Learning In-context Learning for Named Entity RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jiawei Chen
Yaojie Lu
Hongyu Lin
Jie Lou
Wei Jia
Dai Dai
Hua Wu
Boxi Cao
Xianpei Han
Le Sun
NAI
293
33
0
18 May 2023
VicunaNER: Zero/Few-shot Named Entity Recognition using Vicuna
VicunaNER: Zero/Few-shot Named Entity Recognition using Vicuna
Shezheng Song
166
15
0
05 May 2023
Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition
Type-Aware Decomposed Framework for Few-Shot Named Entity RecognitionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yongqi Li
Yu Yu
T. Qian
273
28
0
13 Feb 2023
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