Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
Arabic
Size:
100K - 1M
Tags:
Named Entity Recognition
License:
SaiedAlshahrani
commited on
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num_examples: 168080
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download_size: 1047962
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dataset_size: 3474380
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---
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# Dataset Card for "NewsFANE"
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num_examples: 168080
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download_size: 1047962
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dataset_size: 3474380
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license: cc-by-sa-3.0
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language:
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- ar
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tags:
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- Named Entity Recognition
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task_categories:
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- token-classification
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size_categories:
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- 100K<n<1M
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# Dataset Card for "NewsFANE: Newswire-based Fine-grained Arabic Named Entity Corpus"
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## Paper:
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Fahd Alotaibi and Mark Lee. 2014. A Hybrid Approach to Features Representation for Fine-grained Arabic Named Entity Recognition. In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, pages 984–995, Dublin, Ireland. Dublin City University and Association for Computational Linguistics.
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