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 inco...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-07-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157823001659 |