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Fighting Against the Repetitive Training and Sample Dependency Problem
  in Few-shot Named Entity Recognition

Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition

8 June 2024
Chang Tian
Wenpeng Yin
Dan Li
Marie-Francine Moens
ArXivPDFHTML

Papers citing "Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition"

4 / 4 papers shown
Title
Template-free Prompt Tuning for Few-shot NER
Template-free Prompt Tuning for Few-shot NER
Ruotian Ma
Xin Zhou
Tao Gui
Y. Tan
Linyang Li
Qi Zhang
Xuanjing Huang
VLM
143
177
0
28 Sep 2021
An Enhanced Span-based Decomposition Method for Few-Shot Sequence
  Labeling
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling
Peiyi Wang
Runxin Xu
Tianyu Liu
Qingyu Zhou
Yunbo Cao
Baobao Chang
Zhifang Sui
24
58
0
27 Sep 2021
Named Entity Recognition and Classification on Historical Documents: A
  Survey
Named Entity Recognition and Classification on Historical Documents: A Survey
Maud Ehrmann
Ahmed Hamdi
Elvys Linhares Pontes
Matteo Romanello
A. Doucet
47
108
0
23 Sep 2021
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
243
11,677
0
09 Mar 2017
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