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Reconciliation of Pre-trained Models and Prototypical Neural Networks in
  Few-shot Named Entity Recognition

Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition

7 November 2022
Youcheng Huang
Wenqiang Lei
Jie Fu
Jiancheng Lv
ArXivPDFHTML

Papers citing "Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition"

3 / 3 papers shown
Title
DE$^3$-BERT: Distance-Enhanced Early Exiting for BERT based on
  Prototypical Networks
DE3^33-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks
Jianing He
Qi Zhang
Weiping Ding
Duoqian Miao
Jun Zhao
Liang Hu
LongBing Cao
38
3
0
03 Feb 2024
Free Lunch for Few-shot Learning: Distribution Calibration
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang
Lu Liu
Min Xu
OODD
216
322
0
16 Jan 2021
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
266
31,267
0
16 Jan 2013
1