Towards Realistic Low-resource Relation Extraction: A Benchmark with
Empirical Baseline Study

Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study

19 October 2022

Xin Xu

Ningyu Zhang

Huajun Chen

Papers citing "Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study"

8 / 8 papers shown

Title
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers Xiaoyan Zhao Yang Deng Min Yang Lingzhi Wang Rui Zhang Hong Cheng W. Lam Ying Shen Ruifeng Xu KELM 24 27 0 03 Jun 2023
Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction? Jiashu Xu Mingyu Derek Ma Muhao Chen 25 21 0 21 Dec 2022
Template-free Prompt Tuning for Few-shot NER Ruotian Ma Xin Zhou Tao Gui Y. Tan Linyang Li Qi Zhang Xuanjing Huang VLM 148 178 0 28 Sep 2021
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction Xuming Hu Chenwei Zhang Yawen Yang Xiaohe Li Li Lin Lijie Wen Philip S. Yu 53 59 0 14 Sep 2021
Uncovering Main Causalities for Long-tailed Information Extraction Guoshun Nan Jiaqi Zeng Rui Qiao Zhijiang Guo Wei Lu CML 54 46 0 11 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,844 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,918 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,587 0 21 Jan 2020