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Named Entity Recognition for Addresses: An Empirical Study
In this paper, several model architectures are explored in order to design a high-performing named entity recognition model for addresses which deals with challenges such as diversity, ambiguity and complexity of the address entity. Different types of neural networks are used for training the classi...
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| Main Authors: | , , , |
|---|---|
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
IEEE
2022-01-01
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| 叢編: | IEEE Access |
| 主題: | |
| 在線閱讀: | https://ieeexplore.ieee.org/document/9757239/ |
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