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NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and
  Semi-Supervised Learning Techniques on Text Classification Performance on an
  Imbalanced Dataset

NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset

25 April 2023
Sana Al-Azzawi
Gyorgy Kovács
Filip Nilsson
Tosin P. Adewumi
Marcus Liwicki
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Papers citing "NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset"

2 / 2 papers shown
Title
BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification
BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification
Foteini Papadopoulou
Osman Mutlu
Neris Özen
Bas H. M. van der Velden
I. Hendrickx
Ali Hürriyetoǧlu
ViT
39
0
0
29 Apr 2025
TaskComplexity: A Dataset for Task Complexity Classification with
  In-Context Learning, FLAN-T5 and GPT-4o Benchmarks
TaskComplexity: A Dataset for Task Complexity Classification with In-Context Learning, FLAN-T5 and GPT-4o Benchmarks
Areeg Fahad Rasheed
M. Zarkoosh
Safa F. Abbas
Sana Sabah Al-Azzawi
25
1
0
30 Sep 2024
1