Wojood: Nested Arabic Named Entity Corpus and Recognition using BERT (2022.lrec-1)
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| Challenge: | Named Entity Recognition (NER) is integral to many NLP applications such as chatbots and question answering. |
| Approach: | They propose to annotate Arabic nested entities instead of flat annotations by manually annotating 550K tokens with 21 entity types including person, organization, location, event and date. |
| Outcome: | The proposed model achieved an overall micro F1-score of 0.884 and the annotation guidelines and source code are publicly available. |
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| Challenge: | Named Entity Recognition (NER) is an important task in Natural Language Processing that aims to identify text spans belonging to predefined categories. |
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| Challenge: | Named Entity Recognition (NER) is a key task in Natural Language Processing, but most existing work on NER ignores the recognition of nested entities. |
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