NERO: A Neural Rule Grounding Framework for Label-Efficient Relation
Extraction

NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction

5 September 2019

Bill Yuchen Lin

Xiang Ren

Papers citing "NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction"

9 / 9 papers shown

Title
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance Bo Yuan Yulin Chen Yin Zhang Wei Jiang NoLa 32 6 0 03 Apr 2025
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning Xiang Chen Lei Li Ningyu Zhang Chuanqi Tan Fei Huang Luo Si Huajun Chen RALM VLM 24 36 0 04 May 2022
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers Zheng Tang Mihai Surdeanu 19 6 0 25 Apr 2022
Creating Training Sets via Weak Indirect Supervision Jieyu Zhang Bohan Wang Xiangchen Song Yujing Wang Yaming Yang Jing Bai Alexander Ratner OffRL 51 17 0 07 Oct 2021
WRENCH: A Comprehensive Benchmark for Weak Supervision Jieyu Zhang Yue Yu Yinghao Li Yujing Wang Yaming Yang Mao Yang Alexander Ratner 14 110 0 23 Sep 2021
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction Xiang Chen Ningyu Zhang Xin Xie Shumin Deng Yunzhi Yao Chuanqi Tan Fei Huang Luo Si Huajun Chen 26 401 0 15 Apr 2021
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation Dong-Ho Lee Rahul Khanna Bill Yuchen Lin Jamin Chen Seyeon Lee Qinyuan Ye Elizabeth Boschee Leonardo Neves Xiang Ren 25 22 0 16 Apr 2020
Joint Bootstrapping Machines for High Confidence Relation Extraction Pankaj Gupta Benjamin Roth Hinrich Schütze 11 17 0 01 May 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017