Progressive Detection of Uncertainty in Natural Language Processing Using a Labeled Variable Dimension Kalman Filter
Owing to rapid advancements in information and communication technology, natural language processing (NLP) methods have attracted considerable attention. Estimating uncertainty is a well-established problem in NLP. Developing systems capable of automatically detecting uncertain terms within a natura...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2024/6628192 |
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