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Good Examples Make A Faster Learner: Simple Demonstration-based Learning
  for Low-resource NER

Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER

16 October 2021
Dong-Ho Lee
Akshen Kadakia
Kangmin Tan
Mahak Agarwal
Xinyu Feng
Takashi Shibuya
Ryosuke Mitani
Toshiyuki Sekiya
Jay Pujara
Xiang Ren
ArXivPDFHTML

Papers citing "Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER"

21 / 21 papers shown
Title
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection
Sepideh Mamooler
Syrielle Montariol
Alexander Mathis
Antoine Bosselut
90
1
0
16 Dec 2024
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named
  Entity Recognition
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition
Haojie Zhang
Yimeng Zhuang
38
0
0
26 Apr 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
41
1
0
18 Jan 2024
Labels Need Prompts Too: Mask Matching for Natural Language
  Understanding Tasks
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks
Bo Li
Wei Ye
Quan-ding Wang
Wen Zhao
Shikun Zhang
VLM
30
1
0
14 Dec 2023
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource
  Event Extraction
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction
Gang Zhao
Xiaocheng Gong
Xinjie Yang
Guanting Dong
Shudong Lu
Si Li
24
11
0
16 Oct 2023
A Multi-Task Semantic Decomposition Framework with Task-specific
  Pre-training for Few-Shot NER
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER
Guanting Dong
Zechen Wang
Jinxu Zhao
Gang Zhao
Daichi Guo
...
Keqing He
Xuefeng Li
Liwen Wang
Xinyue Cui
Weiran Xu
32
19
0
28 Aug 2023
Demonstration-based learning for few-shot biomedical named entity
  recognition under machine reading comprehension
Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehension
Leilei Su
Jian Chen
Yifan Peng
Cong Sun
23
2
0
12 Aug 2023
PromptNER: Prompt Locating and Typing for Named Entity Recognition
PromptNER: Prompt Locating and Typing for Named Entity Recognition
Yongliang Shen
Zeqi Tan
Shuhui Wu
Wenqi Zhang
Rongsheng Zhang
Yadong Xi
Weiming Lu
Y. Zhuang
26
33
0
26 May 2023
PromptNER: Prompting For Named Entity Recognition
PromptNER: Prompting For Named Entity Recognition
D. Ashok
Zachary Chase Lipton
25
36
0
24 May 2023
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Y. Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Jindong Wang
Jennifer Foster
Yue Zhang
OOD
32
2
0
23 May 2023
Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition
  with Auxiliary Refined Knowledge
Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge
Jinyuan Li
Han Li
Zhufeng Pan
Di Sun
Jiahao Wang
Wenkun Zhang
Gang Pan
29
21
0
20 May 2023
Learning In-context Learning for Named Entity Recognition
Learning In-context Learning for Named Entity Recognition
Jiawei Chen
Yaojie Lu
Hongyu Lin
Jie Lou
Wei Jia
Dai Dai
Hua-Hong Wu
Boxi Cao
Xianpei Han
Le Sun
NAI
49
19
0
18 May 2023
Prompt-Based Metric Learning for Few-Shot NER
Prompt-Based Metric Learning for Few-Shot NER
Yanru Chen
Yanan Zheng
Zhilin Yang
VLM
34
27
0
08 Nov 2022
Robustness of Demonstration-based Learning Under Limited Data Scenario
Robustness of Demonstration-based Learning Under Limited Data Scenario
Hongxin Zhang
Yanzhe Zhang
Ruiyi Zhang
Diyi Yang
34
13
0
19 Oct 2022
FactMix: Using a Few Labeled In-domain Examples to Generalize to
  Cross-domain Named Entity Recognition
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition
Linyi Yang
Lifan Yuan
Leyang Cui
Wen Gao
Yue Zhang
21
15
0
24 Aug 2022
Few-shot Named Entity Recognition with Self-describing Networks
Few-shot Named Entity Recognition with Self-describing Networks
Jiawei Chen
Qing Liu
Hongyu Lin
Xianpei Han
Le Sun
28
44
0
23 Mar 2022
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning
  and Language Model Augmented Self-Training
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
Yu Meng
Yunyi Zhang
Jiaxin Huang
Xuan Wang
Yu Zhang
Heng Ji
Jiawei Han
47
69
0
10 Sep 2021
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with
  Auxiliary Trigger Extraction
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction
Dong-Ho Lee
Ravi Kiran Selvam
Sheikh Muhammad Sarwar
Bill Yuchen Lin
Fred Morstatter
Jay Pujara
Elizabeth Boschee
James Allan
Xiang Ren
23
2
0
10 Sep 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,918
0
31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,587
0
21 Jan 2020
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
415
2,584
0
03 Sep 2019
1