SRL-ACO: A text augmentation framework based on semantic role labeling and ant colony optimization
The process of creating high-quality labeled data is crucial for training machine-learning models, but it can be a time-consuming and labor-intensive process.Moreover, manual annotation by human annotators can lead to varying degrees of competency, training, and experience, which can result in inconsistent labeling and arbitrary standards.To addres