InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs
We investigate the problem of named entity recognition in the user-generated text such as social media posts. This task is rendered particularly difficult by the restricted length and limited grammatical coherence of this data type. Current state-of-the-art approaches rely on external sources such a...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
LibraryPress@UF
2021-04-01
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| Серія: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Предмети: | |
| Онлайн доступ: | https://journals.flvc.org/FLAIRS/article/view/128538 |
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