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Better Few-Shot Relation Extraction with Label Prompt Dropout

Better Few-Shot Relation Extraction with Label Prompt Dropout

25 October 2022
Peiyuan Zhang
Wei Lu
    VLM
ArXiv (abs)PDFHTML

Papers citing "Better Few-Shot Relation Extraction with Label Prompt Dropout"

22 / 22 papers shown
Title
Pre-training to Match for Unified Low-shot Relation Extraction
Pre-training to Match for Unified Low-shot Relation Extraction
Fangchao Liu
Hongyu Lin
Xianpei Han
Boxi Cao
Le Sun
VLM
32
34
0
23 Mar 2022
Exploring Task Difficulty for Few-Shot Relation Extraction
Exploring Task Difficulty for Few-Shot Relation Extraction
Jiale Han
Bo Cheng
Wei Lu
55
78
0
12 Sep 2021
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation
  Extraction
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction
Manqing Dong
Chunguang Pan
Zhipeng Luo
248
42
0
09 Sep 2021
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
218
3,987
0
28 Jul 2021
PTR: Prompt Tuning with Rules for Text Classification
PTR: Prompt Tuning with Rules for Text Classification
Xu Han
Weilin Zhao
Ning Ding
Zhiyuan Liu
Maosong Sun
VLM
102
527
0
24 May 2021
Learning from Context or Names? An Empirical Study on Neural Relation
  Extraction
Learning from Context or Names? An Empirical Study on Neural Relation Extraction
Hao Peng
Tianyu Gao
Xu Han
Yankai Lin
Peng Li
Zhiyuan Liu
Maosong Sun
Jie Zhou
78
204
0
05 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
98
670
0
02 Oct 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation
  Graphs
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
Meng Qu
Tianyu Gao
Louis-Pascal Xhonneux
Jian Tang
BDL
93
110
0
05 Jul 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
853
42,332
0
28 May 2020
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text
  Mining
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining
Yifan Peng
Qingyu Chen
Zhiyong Lu
70
115
0
06 May 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
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
Tianyu Gao
Xu Han
Hao Zhu
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
261
247
0
16 Oct 2019
An Evaluation Dataset for Intent Classification and Out-of-Scope
  Prediction
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
Stefan Larson
Anish Mahendran
Joseph Peper
Christopher Clarke
Andrew Lee
...
Jonathan K. Kummerfeld
Kevin Leach
M. Laurenzano
Lingjia Tang
Jason Mars
112
530
0
04 Sep 2019
Matching the Blanks: Distributional Similarity for Relation Learning
Matching the Blanks: Distributional Similarity for Relation Learning
Livio Baldini Soares
Nicholas FitzGerald
Jeffrey Ling
Tom Kwiatkowski
64
773
0
07 Jun 2019
ERNIE: Enhanced Language Representation with Informative Entities
ERNIE: Enhanced Language Representation with Informative Entities
Zhengyan Zhang
Xu Han
Zhiyuan Liu
Xin Jiang
Maosong Sun
Qun Liu
109
1,400
0
17 May 2019
FewRel: A Large-Scale Supervised Few-Shot Relation Classification
  Dataset with State-of-the-Art Evaluation
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
Xu Han
Hao Zhu
Pengfei Yu
Ziyun Wang
Yuan Yao
Zhiyuan Liu
Maosong Sun
SLR
66
610
0
24 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
304
4,049
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
172
1,240
0
10 Nov 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
730
132,363
0
12 Jun 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
303
8,150
0
15 Mar 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
375
7,333
0
13 Jun 2016
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