Few-shot Named Entity Recognition via encoder and class intervention
In the real world, the large and complex nature of text increases the difficulty of tagging and results in a limited amount of tagged text. Few-shot Named Entity Recognition(NER) only uses a small amount of annotation data to identify and classify entities. It avoids the above problems. Few-shot lea...
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| 主要な著者: | , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
KeAi Communications Co. Ltd.
2024-01-01
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| シリーズ: | AI Open |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S2666651024000068 |
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