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ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER

ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER

29 May 2023
Amirhossein Layegh
A. H. Payberah
A. Soylu
Dumitru Roman
M. Matskin
    VLM
ArXiv (abs)PDFHTML

Papers citing "ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER"

32 / 32 papers shown
Title
Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges
Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges
Farid Ariai
Gianluca Demartini
ELMAILawVLM
84
7
0
25 Oct 2024
QaNER: Prompting Question Answering Models for Few-shot Named Entity
  Recognition
QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition
Andy T. Liu
Wei Xiao
Henghui Zhu
Dejiao Zhang
Shang-Wen Li
Andrew O. Arnold
76
26
0
03 Mar 2022
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods
  in Natural Language Processing
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
VLMSyDa
228
3,989
0
28 Jul 2021
Few-NERD: A Few-Shot Named Entity Recognition Dataset
Few-NERD: A Few-Shot Named Entity Recognition Dataset
Ning Ding
Guangwei Xu
Yulin Chen
Xiaobin Wang
Xu Han
Pengjun Xie
Haitao Zheng
Zhiyuan Liu
91
234
0
16 May 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao
Xingcheng Yao
Danqi Chen
AILawSSL
278
3,411
0
18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
587
4,084
0
18 Apr 2021
Prototypical Representation Learning for Relation Extraction
Prototypical Representation Learning for Relation Extraction
Ning Ding
Xiaobin Wang
Yao Fu
Guangwei Xu
Rui Wang
Pengjun Xie
Ying Shen
Fei Huang
Haitao Zheng
Rui Zhang
45
60
0
22 Mar 2021
GPT Understands, Too
GPT Understands, Too
Xiao Liu
Yanan Zheng
Zhengxiao Du
Ming Ding
Yujie Qian
Zhilin Yang
Jie Tang
VLM
168
1,179
0
18 Mar 2021
How Many Data Points is a Prompt Worth?
How Many Data Points is a Prompt Worth?
Teven Le Scao
Alexander M. Rush
VLM
162
302
0
15 Mar 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
252
4,299
0
01 Jan 2021
Supervised Contrastive Learning for Pre-trained Language Model
  Fine-tuning
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel
Jingfei Du
Alexis Conneau
Ves Stoyanov
60
507
0
03 Nov 2020
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSLAI4TS
313
712
0
10 Oct 2020
LUKE: Deep Contextualized Entity Representations with Entity-aware
  Self-attention
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
Ikuya Yamada
Akari Asai
Hiroyuki Shindo
Hideaki Takeda
Yuji Matsumoto
107
671
0
02 Oct 2020
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot
  Learners
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick
Hinrich Schütze
132
974
0
15 Sep 2020
Pretraining with Contrastive Sentence Objectives Improves Discourse
  Performance of Language Models
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models
Dan Iter
Kelvin Guu
L. Lansing
Dan Jurafsky
49
78
0
20 May 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
165
4,572
0
23 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
387
18,866
0
13 Feb 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
348
1,617
0
21 Jan 2020
How Can We Know What Language Models Know?
How Can We Know What Language Models Know?
Zhengbao Jiang
Frank F. Xu
Jun Araki
Graham Neubig
KELM
144
1,409
0
28 Nov 2019
Hierarchical Contextualized Representation for Named Entity Recognition
Hierarchical Contextualized Representation for Named Entity Recognition
Ying Luo
Fengshun Xiao
Zhao Hai
101
129
0
06 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
485
20,317
0
23 Oct 2019
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
KELMAI4MH
576
2,674
0
03 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
677
24,541
0
26 Jul 2019
GRN: Gated Relation Network to Enhance Convolutional Neural Network for
  Named Entity Recognition
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition
Hui Chen
Zijia Lin
Guiguang Ding
Jian-Guang Lou
Yusen Zhang
Börje F. Karlsson
55
95
0
12 Jul 2019
Few-shot classification in Named Entity Recognition Task
Few-shot classification in Named Entity Recognition Task
Alexander Fritzler
V. Logacheva
M. Kretov
65
199
0
14 Dec 2018
Deep contextualized word representations for detecting sarcasm and irony
Deep contextualized word representations for detecting sarcasm and irony
Suzana Ilić
Edison Marrese-Taylor
Jorge A. Balazs
Y. Matsuo
52
108
0
26 Sep 2018
Adversarial Contrastive Estimation
Adversarial Contrastive Estimation
A. Bose
Huan Ling
Yanshuai Cao
47
56
0
09 May 2018
Context-aware Captions from Context-agnostic Supervision
Context-aware Captions from Context-agnostic Supervision
Ramakrishna Vedantam
Samy Bengio
Kevin Patrick Murphy
Devi Parikh
Gal Chechik
96
152
0
11 Jan 2017
Large-Margin Softmax Loss for Convolutional Neural Networks
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
84
1,456
0
07 Dec 2016
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Xuezhe Ma
Eduard H. Hovy
111
2,655
0
04 Mar 2016
An Introduction to Convolutional Neural Networks
An Introduction to Convolutional Neural Networks
K. O’Shea
Ryan Nash
FaMLHAI
82
3,159
0
26 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
389
13,145
0
12 Mar 2015
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