Multi-Task Learning in Natural Language Processing: Leveraging Shared Knowledge for Improved Performance

Multi-Task Learning (MTL) can leverage useful information from related tasks to achieve simultaneous performance improvement on these tasks, helping to address overfitting and data scarcity problems in Natural Language Processing (NLP).