ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.01677
  4. Cited By
Local Additivity Based Data Augmentation for Semi-supervised NER

Local Additivity Based Data Augmentation for Semi-supervised NER

4 October 2020
Jiaao Chen
Zhenghui Wang
Ran Tian
Zichao Yang
Diyi Yang
ArXivPDFHTML

Papers citing "Local Additivity Based Data Augmentation for Semi-supervised NER"

13 / 13 papers shown
Title
ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition
ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition
Haris Riaz
Razvan-Gabriel Dumitru
Mihai Surdeanu
MU
37
0
0
26 Mar 2024
Semi-supervised Relation Extraction via Data Augmentation and
  Consistency-training
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training
Komal K. Teru
40
5
0
16 Jun 2023
Jointprop: Joint Semi-supervised Learning for Entity and Relation
  Extraction with Heterogeneous Graph-based Propagation
Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation
Yandan Zheng
Anran Hao
A. Luu
18
8
0
25 May 2023
Rethinking Semi-supervised Learning with Language Models
Rethinking Semi-supervised Learning with Language Models
Zhengxiang Shi
Francesco Tonolini
Nikolaos Aletras
Emine Yilmaz
G. Kazai
Yunlong Jiao
32
18
0
22 May 2023
Data Augmentation for Conflict and Duplicate Detection in Software
  Engineering Sentence Pairs
Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs
G. Malik
Mucahit Cevik
Ayse Basar
24
2
0
16 May 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
24
28
0
21 Dec 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural
  Language Understanding
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding
Le Zhang
Zichao Yang
Diyi Yang
36
24
0
12 May 2022
Robust Self-Augmentation for Named Entity Recognition with Meta
  Reweighting
Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting
Linzhi Wu
Pengjun Xie
Jie Zhou
Meishan Zhang
Chunping Ma
Guangwei Xu
Min Zhang
35
21
0
25 Apr 2022
Learning to Classify Open Intent via Soft Labeling and Manifold Mixup
Learning to Classify Open Intent via Soft Labeling and Manifold Mixup
Zifeng Cheng
Zhiwei Jiang
Yafeng Yin
Cong Wang
Qing Gu
VLM
24
13
0
16 Apr 2022
To Augment or Not to Augment? A Comparative Study on Text Augmentation
  Techniques for Low-Resource NLP
To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP
Gözde Gül Sahin
40
33
0
18 Nov 2021
Data Augmentation Approaches in Natural Language Processing: A Survey
Data Augmentation Approaches in Natural Language Processing: A Survey
Bohan Li
Yutai Hou
Wanxiang Che
130
271
0
05 Oct 2021
A Survey on Data Augmentation for Text Classification
A Survey on Data Augmentation for Text Classification
Markus Bayer
M. Kaufhold
Christian A. Reuter
36
334
0
07 Jul 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in
  NLP
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
Jiaao Chen
Derek Tam
Colin Raffel
Joey Tianyi Zhou
Diyi Yang
28
172
0
14 Jun 2021
1