Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-10413
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Main Title: Dari Dataset for Named Entity Recognition DariNER1
Author(s): Zia, Ghezal Ahmad Jan
Type: Textual Data
References: http://dx.doi.org/10.14279/depositonce-10437
http://dx.doi.org/10.14279/depositonce-10420
http://dx.doi.org/10.14279/depositonce-10447
http://dx.doi.org/10.14279/depositonce-10532
Language Code: und
Abstract: DariNER1 is the collection of the data from Dari newswire domains. This dataset is developed based on the IO encoding scheme which following four types of named entities such as Person, Location, Organization, and Miscellaneous. The data follow the Dari pure orthographic structure and collected from Dari VOA news, Azadi Radio and Kankor (University National Entry Exam) from Higher Education of Afghanistan.
URI: https://depositonce.tu-berlin.de/handle/11303/11529
http://dx.doi.org/10.14279/depositonce-10413
Issue Date: 23-Jul-2020
Date Available: 28-Jul-2020
DDC Class: 000 informatics, information science, general works
Subject(s): Dari NER Corpus
Dari Information Extraction
License: https://choosealicense.com/licenses/gpl-3.0/
Notes: File is encoded as UTF-8 with arabic characters.
Appears in Collections:FG Modelle und Theorie Verteilter Systeme » Research Data

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DariNER1.csv

This dataset is designed based on IO encoding and contains four types of named entities, such as Person, Location, Organization and Miscellaneous

Format: CSV | Size: 1.53 MB
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