ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1705.03995
  4. Cited By
Learning with Noise: Enhance Distantly Supervised Relation Extraction
  with Dynamic Transition Matrix

Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix

11 May 2017
Bingfeng Luo
Yansong Feng
Zheng Wang
Zhanxing Zhu
Songfang Huang
Rui Yan
Dongyan Zhao
ArXiv (abs)PDFHTML

Papers citing "Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix"

36 / 36 papers shown
Reduction of Supervision for Biomedical Knowledge Discovery
Reduction of Supervision for Biomedical Knowledge DiscoveryBMC Bioinformatics (BMC Bioinformatics), 2025
Christos Theodoropoulos
Andrei Catalin Coman
James Henderson
Marie-Francine Moens
201
0
0
13 Apr 2025
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples
Late Stopping: Avoiding Confidently Learning from Mislabeled ExamplesIEEE International Conference on Computer Vision (ICCV), 2023
Suqin Yuan
Lei Feng
Tongliang Liu
NoLa
262
16
0
26 Aug 2023
An Overview of Distant Supervision for Relation Extraction with a Focus
  on Denoising and Pre-training Methods
An Overview of Distant Supervision for Relation Extraction with a Focus on Denoising and Pre-training Methods
William Hogan
191
6
0
17 Jul 2022
Optical Remote Sensing Image Understanding with Weak Supervision:
  Concepts, Methods, and Perspectives
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and PerspectivesIEEE Geoscience and Remote Sensing Magazine (GRSM), 2022
Jun Yue
Leyuan Fang
Pedram Ghamisi
Weiying Xie
Jun Li
Jocelyn Chanussot
Antonio J. Plaza
147
53
0
18 Apr 2022
Abstractified Multi-instance Learning (AMIL) for Biomedical Relation
  Extraction
Abstractified Multi-instance Learning (AMIL) for Biomedical Relation ExtractionConference on Automated Knowledge Base Construction (AKBC), 2021
William Hogan
Molly Huang
Yannis Katsis
Tyler Baldwin
Ho-Cheol Kim
Yoshiki Vazquez Baeza
Andrew Bartko
Chun-Nan Hsu
MedIm
115
11
0
24 Oct 2021
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
Ilias Chalkidis
Abhik Jana
D. Hartung
M. Bommarito
Ion Androutsopoulos
Daniel Martin Katz
Nikolaos Aletras
AILawELM
521
369
0
03 Oct 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
249
119
0
23 Sep 2021
O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in
  Authorship Verification
O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship VerificationConference and Labs of the Evaluation Forum (CLEF), 2021
Benedikt T. Boenninghoff
R. M. Nickel
D. Kolossa
OODD
204
14
0
30 Jun 2021
SENT: Sentence-level Distant Relation Extraction via Negative Training
SENT: Sentence-level Distant Relation Extraction via Negative TrainingAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Ruotian Ma
Tao Gui
Linyang Li
Tao Gui
Yaqian Zhou
Xuanjing Huang
126
33
0
22 Jun 2021
Self-Calibrating Neural-Probabilistic Model for Authorship Verification
  Under Covariate Shift
Self-Calibrating Neural-Probabilistic Model for Authorship Verification Under Covariate ShiftConference and Labs of the Evaluation Forum (CLEF), 2021
Benedikt T. Boenninghoff
D. Kolossa
R. M. Nickel
123
6
0
21 Jun 2021
Crossing the Conversational Chasm: A Primer on Natural Language
  Processing for Multilingual Task-Oriented Dialogue Systems
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue SystemsJournal of Artificial Intelligence Research (JAIR), 2021
E. Razumovskaia
Goran Glavaš
Olga Majewska
Edoardo Ponti
Anna Korhonen
Ivan Vulić
487
38
0
17 Apr 2021
A Question-answering Based Framework for Relation Extraction Validation
A Question-answering Based Framework for Relation Extraction Validation
Cheng Jiayang
Haiyun Jiang
Deqing Yang
Yanghua Xiao
191
11
0
07 Apr 2021
Analysing the Noise Model Error for Realistic Noisy Label Data
Analysing the Noise Model Error for Realistic Noisy Label DataAAAI Conference on Artificial Intelligence (AAAI), 2021
Michael A. Hedderich
D. Zhu
Dietrich Klakow
NoLa
219
24
0
24 Jan 2021
From Bag of Sentences to Document: Distantly Supervised Relation
  Extraction via Machine Reading Comprehension
From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension
Lingyong Yan
Xianpei Han
Le Sun
Liu Fangchao
Ning Bian
176
2
0
08 Dec 2020
A Survey on Recent Approaches for Natural Language Processing in
  Low-Resource Scenarios
A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosNorth American Chapter of the Association for Computational Linguistics (NAACL), 2020
Michael A. Hedderich
Lukas Lange
Heike Adel
Jannik Strötgen
Dietrich Klakow
656
347
0
23 Oct 2020
Fine-Tuning Pre-trained Language Model with Weak Supervision: A
  Contrastive-Regularized Self-Training Approach
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
Yue Yu
Simiao Zuo
Haoming Jiang
Wendi Ren
T. Zhao
Chao Zhang
AI4MH
333
133
0
15 Oct 2020
Transfer Learning and Distant Supervision for Multilingual Transformer
  Models: A Study on African Languages
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages
Michael A. Hedderich
David Ifeoluwa Adelani
D. Zhu
Jesujoba Oluwadara Alabi
Udia Markus
Dietrich Klakow
190
78
0
07 Oct 2020
Representation Learning from Limited Educational Data with Crowdsourced
  Labels
Representation Learning from Limited Educational Data with Crowdsourced LabelsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Wentao Wang
Guowei Xu
Wenbiao Ding
Gale Yan Huang
Guoliang Li
Shucheng Zhou
Zitao Liu
SSL
206
14
0
23 Sep 2020
Distantly Supervised Relation Extraction in Federated Settings
Distantly Supervised Relation Extraction in Federated SettingsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Dianbo Sui
Yubo Chen
Kang Liu
Jun Zhao
FedML
163
11
0
12 Aug 2020
A Data-driven Approach for Noise Reduction in Distantly Supervised
  Biomedical Relation Extraction
A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation ExtractionWorkshop on Biomedical Natural Language Processing (BioNLP), 2020
Saadullah Amin
K. Dunfield
Anna Vechkaeva
G. Neumann
NoLaMedIm
108
14
0
26 May 2020
A Practical Framework for Relation Extraction with Noisy Labels Based on
  Doubly Transitional Loss
A Practical Framework for Relation Extraction with Noisy Labels Based on Doubly Transitional Loss
Shanchan Wu
Kai Fan
NoLa
65
2
0
28 Apr 2020
Decoupled Gradient Harmonized Detector for Partial Annotation:
  Application to Signet Ring Cell Detection
Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell DetectionNeurocomputing (Neurocomputing), 2020
Tiancheng Lin
Yuanfan Guo
Canqian Yang
Jiancheng Yang
Yi Tian Xu
141
9
0
09 Apr 2020
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with
  Noisy Labels
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Lukas Lange
Michael A. Hedderich
Dietrich Klakow
NoLa
209
15
0
14 Oct 2019
Uncover the Ground-Truth Relations in Distant Supervision: A Neural
  Expectation-Maximization Framework
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization FrameworkConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Jiasi Chen
Richong Zhang
Yongyi Mao
Ziqiao Wang
Jie Xu
NoLaBDL
145
10
0
12 Sep 2019
Deep Ranking Based Cost-sensitive Multi-label Learning for Distant
  Supervision Relation Extraction
Deep Ranking Based Cost-sensitive Multi-label Learning for Distant Supervision Relation ExtractionInformation Processing & Management (IPM), 2019
Hai Ye
Zhunchen Luo
159
23
0
25 Jul 2019
Fine-tuning Pre-Trained Transformer Language Models to Distantly
  Supervised Relation Extraction
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Christoph Alt
Marc Hübner
Leonhard Hennig
190
131
0
19 Jun 2019
DSReg: Using Distant Supervision as a Regularizer
DSReg: Using Distant Supervision as a Regularizer
Yuxian Meng
Muyu Li
Xiaoya Li
Wei Wu
Jiwei Li
165
3
0
28 May 2019
Learning to Denoise Distantly-Labeled Data for Entity Typing
Learning to Denoise Distantly-Labeled Data for Entity TypingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019
Yasumasa Onoe
Greg Durrett
199
60
0
04 May 2019
Handling Noisy Labels for Robustly Learning from Self-Training Data for
  Low-Resource Sequence Labeling
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling
Debjit Paul
Mittul Singh
Michael A. Hedderich
Dietrich Klakow
NoLa
119
17
0
28 Mar 2019
Towards Time-Aware Distant Supervision for Relation Extraction
Towards Time-Aware Distant Supervision for Relation Extraction
Tianwen Jiang
Sendong Zhao
Jing Liu
Jin-ge Yao
Ming-Yuan Liu
Bing Qin
Ting Liu
Chin-Yew Lin
81
1
0
08 Mar 2019
Cross-relation Cross-bag Attention for Distantly-supervised Relation
  Extraction
Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction
Yujin Yuan
Liyuan Liu
Siliang Tang
Zhongfei Zhang
Yueting Zhuang
Shiliang Pu
Leilei Gan
Xiang Ren
146
70
0
27 Dec 2018
Improving Distantly Supervised Relation Extraction with Neural Noise
  Converter and Conditional Optimal Selector
Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector
Shanchan Wu
Kai Fan
Qiong Zhang
156
35
0
14 Nov 2018
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised
  Neural Relation Extraction
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction
Shun Zheng
Xu Han
Yankai Lin
Fei He
Lu Chen
Ling Huang
Liang Li
Wenyuan Xu
136
2
0
06 Nov 2018
Combining Distant and Direct Supervision for Neural Relation Extraction
Combining Distant and Direct Supervision for Neural Relation Extraction
Iz Beltagy
Kyle Lo
Bridger Waleed Ammar
NoLa
168
27
0
30 Oct 2018
FewRel: A Large-Scale Supervised Few-Shot Relation Classification
  Dataset with State-of-the-Art Evaluation
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
Xu Han
Hao Zhu
Pengfei Yu
Ziyun Wang
Yuan Yao
Zhiyuan Liu
Maosong Sun
SLR
210
667
0
24 Oct 2018
Global Relation Embedding for Relation Extraction
Global Relation Embedding for Relation Extraction
Yu-Chuan Su
Honglei Liu
Semih Yavuz
Izzeddin Gur
Huan Sun
Xifeng Yan
140
29
0
19 Apr 2017
1