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YoungXiyuan authored Sep 14, 2019
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Expand Up @@ -5,6 +5,11 @@ DCA (Dynamic Context Augmentation) provides global entity linking models featuri

- **Portability**: DCA can introduce topical coherence into local linking models without reshaping their original designs or structures.

Remarkablely, our DCA models (trained by supervised learning or reinforcement learning) achieved:

- **94.64%** in-KB acc. on AIDA-CONLL testset (AIDA-B).
- **94.57%** F1 score on MSBNC dataset and **90.14%** F1 score on ACE2004 dataset.

Details about DCA can be accessed at: https://arxiv.org/abs/1909.02117.

This implementation refers to the project structure of [mulrel-nel](https://github.com/lephong/mulrel-nel).
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