Papers with E2O problem
Incremental Sequence Labeling: A Tale of Two Shifts (2024.findings-acl)
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| Challenge: | Existing approaches to incremental sequence labeling have focused on the E2O and O2E issues, but neglect the O2e issue. |
| Approach: | They propose a framework for incremental sequence labeling without semantic shifts that mitigate catastrophic forgetting in models by using knowledge distillation to maintain the model’s discriminative ability for old entities. |
| Outcome: | The proposed framework mitigates catastrophic forgetting in models while maintaining discriminative ability for old entities while minimizing the model’s bias towards new entities. |