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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
Wenxuan Zhou
Hongtao Lin
Bill Yuchen Lin
Ziqi Wang
Junyi Du
Leonardo Neves
Xiang Ren
    NAI
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Papers citing "NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction"

12 / 12 papers shown
Title
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance
Bo Yuan
Yulin Chen
Yin Zhang
Wei Jiang
NoLa
47
6
0
03 Apr 2025
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible
  Products Prediction
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction
Rongzhi Zhang
Rebecca West
Xiquan Cui
Chao Zhang
37
6
0
28 Jun 2022
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt
  Tuning
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
26
36
0
04 May 2022
It Takes Two Flints to Make a Fire: Multitask Learning of Neural
  Relation and Explanation Classifiers
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers
Zheng Tang
Mihai Surdeanu
32
6
0
25 Apr 2022
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive
  Weakly-Supervised Learning
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning
Rongzhi Zhang
Yue Yu
Pranav Shetty
Le Song
Chao Zhang
32
23
0
18 Mar 2022
Creating Training Sets via Weak Indirect Supervision
Creating Training Sets via Weak Indirect Supervision
Jieyu Zhang
Bohan Wang
Xiangchen Song
Yujing Wang
Yaming Yang
Jing Bai
Alexander Ratner
OffRL
54
17
0
07 Oct 2021
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level
  Relation Extraction
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
Yuxin Xiao
Zecheng Zhang
Yuning Mao
Carl Yang
Jiawei Han
RALM
AI4TS
26
47
0
24 Sep 2021
WRENCH: A Comprehensive Benchmark for Weak Supervision
WRENCH: A Comprehensive Benchmark for Weak Supervision
Jieyu Zhang
Yue Yu
Yinghao Li
Yujing Wang
Yaming Yang
Mao Yang
Alexander Ratner
27
111
0
23 Sep 2021
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization
  for Relation Extraction
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
43
402
0
15 Apr 2021
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from
  Explanation
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
43
22
0
16 Apr 2020
Joint Bootstrapping Machines for High Confidence Relation Extraction
Joint Bootstrapping Machines for High Confidence Relation Extraction
Pankaj Gupta
Benjamin Roth
Hinrich Schütze
24
17
0
01 May 2018
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
273
1,275
0
06 Mar 2017
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