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Large-Scale Label Interpretation Learning for Few-Shot Named Entity
  Recognition

Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition

21 March 2024
Jonas Golde
Felix Hamborg
Alan Akbik
ArXivPDFHTML

Papers citing "Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition"

5 / 5 papers shown
Title
Large Language Model Is Not a Good Few-shot Information Extractor, but a
  Good Reranker for Hard Samples!
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
Yubo Ma
Yixin Cao
YongChing Hong
Aixin Sun
RALM
80
135
0
15 Mar 2023
Language Model Pre-Training with Sparse Latent Typing
Language Model Pre-Training with Sparse Latent Typing
Liliang Ren
Zixuan Zhang
H. Wang
Clare R. Voss
Chengxiang Zhai
Heng Ji
40
3
0
23 Oct 2022
Good Examples Make A Faster Learner: Simple Demonstration-based Learning
  for Low-resource NER
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER
Dong-Ho Lee
Akshen Kadakia
Kangmin Tan
Mahak Agarwal
Xinyu Feng
Takashi Shibuya
Ryosuke Mitani
Toshiyuki Sekiya
Jay Pujara
Xiang Ren
35
84
0
16 Oct 2021
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
1