Papers with progressive setting
Learning to Progressively Recognize New Named Entities with Sequence to Sequence Models (C18-1)
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| Challenge: | Existing models for Named Entity Recognition (NER) are trained on data with the same NE label set, but they are not able to recognize previously unseen NE categories. |
| Approach: | They propose to use a sequence to sequence model for Named Entity Recognition (NER) and propose to reshape and re-parametrize the output layer of the first learned model to enable the recognition of new NEs. |
| Outcome: | The proposed model can recognize previously unseen NE categories while keeping the knowledge of previously seen categories. |