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.
Sana Sabah Al-AzzawiGyörgy KovácsFilip NilssonTosin P. AdewumiMarcus LiwickiPublished in: SemEval@ACL (2023)
Keyphrases
- semi supervised learning
- labeled data
- text classification
- unlabeled data
- training data
- semi supervised
- machine learning
- data sets
- data analysis
- data distribution
- raw data
- labeled and unlabeled data
- knowledge discovery
- supervised learning
- active learning
- original data
- data points
- small number
- decision trees
- co training
- high dimensional data
- multi label