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Named Entity Recognition in Wikipedia

WikiGold is a manually annotated collection of Wikipedia text.

Structure

  • Number of labels: 9
['O', 'B-LOC', 'I-LOC', 'B-MISC', 'I-MISC', 'B-ORG', 'I-ORG', 'B-PER', 'I-PER']

Train set

Number of sentences in the train set: 1472

Label count in train set:

Label Count Percentage (%)
O 26086 83.649190
I-ORG 1470 4.713805
I-PER 1303 4.178291
I-LOC 1175 3.767837
I-MISC 1151 3.690877

Test set

Number of sentences in the test set: 369

Label count in test set:

Label Count Percentage (%)
O 6635 83.281034
I-ORG 488 6.125267
I-PER 331 4.154638
I-LOC 272 3.414083
I-MISC 241 3.024978

Citation

 Dominic Balasuriya, Nicky Ringland, Joel Nothman, Tara Murphy, and James R. Curran. 2009.
Named Entity Recognition in Wikipedia.
In Proceedings of the 2009 Workshop on The People’s Web Meets NLP: Collaboratively Constructed Semantic Resources (People’s Web), pages 10–18, Suntec, Singapore.
Association for Computational Linguistics.

License

WikiGold is licensed under CC-BY 4.0. To view this license, visit the link.

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