Towards solving NLP tasks with optimal transport loss
Loss functions are essential to computing the divergence of a model’s predicted distribution from the ground truth. Such functions play a vital role in machine learning algorithms as they steer the learning process. Most common loss functions in natural language processing (NLP), such as Kullback–Le...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2022-11-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157822003986 |
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