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When Low Resource NLP Meets Unsupervised Language Model:
  Meta-pretraining Then Meta-learning for Few-shot Text Classification

When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text Classification

22 August 2019
Shumin Deng
Ningyu Zhang
Zhanlin Sun
Jiaoyan Chen
Huajun Chen
    VLM
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Papers citing "When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text Classification"

11 / 11 papers shown
Title
MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast
  On-Device Adaption
MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption
Yejia Liu
Shijin Duan
Xiaolin Xu
Shaolei Ren
38
4
0
23 Feb 2023
Is GPT-3 a Good Data Annotator?
Is GPT-3 a Good Data Annotator?
Bosheng Ding
Chengwei Qin
Linlin Liu
Yew Ken Chia
Chenyu You
Boyang Albert Li
Lidong Bing
29
236
0
20 Dec 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami
Minwoo Lee
MQ
36
157
0
07 Mar 2022
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge
  Base Population
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
Ningyu Zhang
Xin Xu
Li Tao
Haiyang Yu
Hongbin Ye
...
Qiang Chen
Zhiyu Li
Fei Huang
Guozhou Zheng
Huajun Chen
VLM
HAI
35
42
0
10 Jan 2022
Improving Large-scale Language Models and Resources for Filipino
Improving Large-scale Language Models and Resources for Filipino
Jan Christian Blaise Cruz
C. Cheng
AI4CE
29
27
0
11 Nov 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in
  NLP
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
Jiaao Chen
Derek Tam
Colin Raffel
Joey Tianyi Zhou
Diyi Yang
30
172
0
14 Jun 2021
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot
  Relational Triple Extraction
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction
Haiyang Yu
Ningyu Zhang
Shumin Deng
Hongbin Ye
Wei Zhang
Huajun Chen
8
49
0
30 Oct 2020
Discriminative Nearest Neighbor Few-Shot Intent Detection by
  Transferring Natural Language Inference
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference
Jianguo Zhang
Kazuma Hashimoto
Wenhao Liu
Chien-Sheng Wu
Yao Wan
Philip S. Yu
R. Socher
Caiming Xiong
14
92
0
25 Oct 2020
On Robustness and Bias Analysis of BERT-based Relation Extraction
On Robustness and Bias Analysis of BERT-based Relation Extraction
Luoqiu Li
Xiang Chen
Hongbin Ye
Zhen Bi
Shumin Deng
Ningyu Zhang
Huajun Chen
32
18
0
14 Sep 2020
Conceptualized Representation Learning for Chinese Biomedical Text
  Mining
Conceptualized Representation Learning for Chinese Biomedical Text Mining
Ningyu Zhang
Qianghuai Jia
Kangping Yin
Liang Dong
Feng Gao
Nengwei Hua
OOD
42
65
0
25 Aug 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
457
11,715
0
09 Mar 2017
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