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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

18 November 2021
Gözde Gül Sahin
ArXivPDFHTML

Papers citing "To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP"

14 / 14 papers shown
Title
Data Augmentation and Hyperparameter Tuning for Low-Resource MFA
Data Augmentation and Hyperparameter Tuning for Low-Resource MFA
Alessio Tosolini
Claire Bowern
14
0
0
09 Apr 2025
MAGE: Multi-Head Attention Guided Embeddings for Low Resource Sentiment Classification
MAGE: Multi-Head Attention Guided Embeddings for Low Resource Sentiment Classification
Varun Vashisht
S.
Mihir Konduskar
Jaskaran Singh Walia
Vukosi Marivate
37
0
0
25 Feb 2025
Does VLM Classification Benefit from LLM Description Semantics?
Does VLM Classification Benefit from LLM Description Semantics?
Pingchuan Ma
Lennart Rietdorf
Dmytro Kotovenko
Vincent Tao Hu
Bjorn Ommer
VLM
67
0
0
16 Dec 2024
CreoleVal: Multilingual Multitask Benchmarks for Creoles
CreoleVal: Multilingual Multitask Benchmarks for Creoles
Heather Lent
Kushal Tatariya
Raj Dabre
Yiyi Chen
Marcell Richard Fekete
...
Miryam de Lhoneux
Daniel Hershcovich
Michel DeGraff
Anders Sogaard
Johannes Bjerva
SLR
33
9
0
30 Oct 2023
Not Enough Labeled Data? Just Add Semantics: A Data-Efficient Method for
  Inferring Online Health Texts
Not Enough Labeled Data? Just Add Semantics: A Data-Efficient Method for Inferring Online Health Texts
Joseph Gatto
S. Preum
AI4MH
8
1
0
18 Sep 2023
Distributional Data Augmentation Methods for Low Resource Language
Distributional Data Augmentation Methods for Low Resource Language
Mosleh Mahamud
Zed Lee
Isak Samsten
12
2
0
09 Sep 2023
Probabilistic Linguistic Knowledge and Token-level Text Augmentation
Probabilistic Linguistic Knowledge and Token-level Text Augmentation
Zhengxiang Wang
11
0
0
29 Jun 2023
Waffling around for Performance: Visual Classification with Random Words
  and Broad Concepts
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts
Karsten Roth
Jae Myung Kim
A. Sophia Koepke
Oriol Vinyals
Cordelia Schmid
Zeynep Akata
VLM
16
70
0
12 Jun 2023
Data Augmentation for Neural NLP
Data Augmentation for Neural NLP
Domagoj Pluscec
Jan Snajder
6
6
0
22 Feb 2023
Knowledge-Grounded Conversational Data Augmentation with Generative
  Conversational Networks
Knowledge-Grounded Conversational Data Augmentation with Generative Conversational Networks
Yen-Ting Lin
Alexandros Papangelis
Seokhwan Kim
Dilek Z. Hakkani-Tür
13
7
0
22 Jul 2022
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
Mohit Bansal
Diyi Yang
13
172
0
14 Jun 2021
How Good is Your Tokenizer? On the Monolingual Performance of
  Multilingual Language Models
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models
Phillip Rust
Jonas Pfeiffer
Ivan Vulić
Sebastian Ruder
Iryna Gurevych
69
235
0
31 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 Scenarios
Michael A. Hedderich
Lukas Lange
Heike Adel
Jannik Strötgen
Dietrich Klakow
191
283
0
23 Oct 2020
Data Augmentation using Pre-trained Transformer Models
Data Augmentation using Pre-trained Transformer Models
Varun Kumar
Ashutosh Choudhary
Eunah Cho
VLM
209
315
0
04 Mar 2020
1