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🆕 Date Issued:
2020-08-08
🗄 In DepositOnce:2020-08-11
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Dari Dataset for Named Entity Recognition DariNER2

Zia, Ghezal Ahmad Jan

DariNER2 is the release of the Dari sentence-level Named Entity annotated dataset, collected from Dari Azadi Radio. The goal of the project was to annotate a corpus comprising various genres of text (news, newsgroups, and interviews) in the Dari language with structural information (syntax). In addition, it is developed to support sentence-level ambiguity in the Dari text. It contains 883 sentences, 22K word/token. It is manually annotated and used the person (PER), location (LOC), organization (ORG), and miscellaneous (MISC) classes.
Dari Named Entity Recognition CorpusDari NLP Resources
References
10.14279/depositonce-1041310.14279/depositonce-1043710.14279/depositonce-1042010.14279/depositonce-10532
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GNU General Public License 3.0 (GNU GPLv3)
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