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Rethinking Negative Sampling for Handling Missing Entity Annotations

Rethinking Negative Sampling for Handling Missing Entity Annotations

26 August 2021
Yangming Li
Lemao Liu
Shuming Shi
ArXivPDFHTML

Papers citing "Rethinking Negative Sampling for Handling Missing Entity Annotations"

11 / 11 papers shown
Title
DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition
DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition
Qi Zhang
Huitong Pan
Zhijia Chen
Longin Jan Latecki
Cornelia Caragea
Eduard Constantin Dragut
30
0
0
06 Apr 2025
Does Negative Sampling Matter? A Review with Insights into its Theory
  and Applications
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications
Zhen Yang
Ming Ding
Tinglin Huang
Yukuo Cen
Junshuai Song
Bin Xu
Yuxiao Dong
Jie Tang
33
9
0
27 Feb 2024
Rethinking Negative Instances for Generative Named Entity Recognition
Rethinking Negative Instances for Generative Named Entity Recognition
Yuyang Ding
Juntao Li
Pinzheng Wang
Zecheng Tang
Bowen Yan
Min Zhang
37
10
0
26 Feb 2024
MProto: Multi-Prototype Network with Denoised Optimal Transport for
  Distantly Supervised Named Entity Recognition
MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition
Shuhui Wu
Yongliang Shen
Zeqi Tan
Wenqi Ren
Jietian Guo
Shiliang Pu
Weiming Lu
32
4
0
12 Oct 2023
Uncertainty in Natural Language Processing: Sources, Quantification, and
  Applications
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
Mengting Hu
Zhen Zhang
Shiwan Zhao
Minlie Huang
Bingzhe Wu
BDL
31
34
0
05 Jun 2023
Better Sampling of Negatives for Distantly Supervised Named Entity
  Recognition
Better Sampling of Negatives for Distantly Supervised Named Entity Recognition
Lu Xu
Lidong Bing
Wei Lu
NoLa
27
2
0
22 May 2023
Data-efficient Active Learning for Structured Prediction with Partial
  Annotation and Self-Training
Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
11
1
0
22 May 2023
SANTA: Separate Strategies for Inaccurate and Incomplete Annotation
  Noise in Distantly-Supervised Named Entity Recognition
SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition
Shuzheng Si
Zefan Cai
Shuang Zeng
Guoqiang Feng
Jiaxing Lin
Baobao Chang
29
4
0
06 May 2023
Towards Integration of Discriminability and Robustness for
  Document-Level Relation Extraction
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction
Jiannan Guo
Stanley Kok
Lidong Bing
21
8
0
03 Apr 2023
Learning "O" Helps for Learning More: Handling the Concealed Entity
  Problem for Class-incremental NER
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER
Ruotian Ma
Xuanting Chen
Lin Zhang
Xin Zhou
Junzhe Wang
Tao Gui
Qi Zhang
Xiang Gao
Yunwen Chen
39
8
0
10 Oct 2022
SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented
  Inference for Unlabeled Entity Problem in NER
SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER
Shuzheng Si
Shuang Zeng
Jiaxing Lin
Baobao Chang
RALM
32
11
0
04 Sep 2022
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