Papers with S3E
Measuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy (2024.eacl-long)
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| Challenge: | Uncertainty estimation is an important diagnostic tool for statistical models. |
| Approach: | They propose to adapt similarity-sensitive Shannon entropy (S3E) for NMT by incorporating a concept borrowed from theoretical ecology. |
| Outcome: | The proposed framework improves quality estimation and named entity recall, and improves translation quality. |