Delayed Combination of Feature Embedding in Bidirectional LSTM CRF for NER
Named Entity Recognition (NER) plays a vital role in natural language processing (NLP). Currently, deep neural network models have achieved significant success in NER. Recent advances in NER systems have introduced various feature selections to identify appropriate representations and handle Out-Of-...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2020-10-01
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| Серія: | Applied Sciences |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2076-3417/10/21/7557 |
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