LightNER: A Lightweight Tuning Paradigm for Low-resource NER via
Pluggable Prompting

LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting

31 August 2021

Lei Li

Shumin Deng

Chuanqi Tan

Fei Huang

Huajun Chen

Ningyu Zhang

Papers citing "LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting"

8 / 8 papers shown

Title
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models Ran Xu Hejie Cui Yue Yu Xuan Kan Wenqi Shi Yuchen Zhuang Wei Jin Joyce C. Ho Carl Yang 55 12 0 28 Jan 2025
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER Xiang Chen Lei Li Q. Fei Ningyu Zhang Chuanqi Tan Yong-jia Jiang Fei Huang Huajun Chen 11 23 0 25 Jan 2023
Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge Kosuke Nishida Naoki Yoshinaga Kyosuke Nishida 16 2 0 14 Oct 2022
Template-free Prompt Tuning for Few-shot NER Ruotian Ma Xin Zhou Tao Gui Y. Tan Linyang Li Qi Zhang Xuanjing Huang VLM 143 176 0 28 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 251 1,382 0 21 Jan 2020
Design Challenges and Misconceptions in Neural Sequence Labeling Jie Yang Shuailong Liang Yue Zhang 112 161 0 12 Jun 2018