NERDz: A Preliminary Dataset of Named Entities for Algerian

Samia Touileb


Abstract
This paper introduces a first step towards creating the NERDz dataset. A manually annotated dataset of named entities for the Algerian vernacular dialect. The annotations are built on top of a recent extension to the Algerian NArabizi Treebank, comprizing NArabizi sentences with manual transliterations into Arabic and code-switched scripts. NERDz is therefore not only the first dataset of named entities for Algerian, but it also comprises parallel entities written in Latin, Arabic, and code-switched scripts. We present a detailed overview of our annotations, inter-annotator agreement measures, and define two preliminary baselines using a neural sequence labeling approach and an Algerian BERT model. We also make the annotation guidelines and the annotations available for future work
Anthology ID:
2022.aacl-short.13
Volume:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Month:
November
Year:
2022
Address:
Online only
Editors:
Yulan He, Heng Ji, Sujian Li, Yang Liu, Chua-Hui Chang
Venues:
AACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
95–101
Language:
URL:
https://aclanthology.org/2022.aacl-short.13
DOI:
Bibkey:
Cite (ACL):
Samia Touileb. 2022. NERDz: A Preliminary Dataset of Named Entities for Algerian. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 95–101, Online only. Association for Computational Linguistics.
Cite (Informal):
NERDz: A Preliminary Dataset of Named Entities for Algerian (Touileb, AACL-IJCNLP 2022)
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PDF:
https://aclanthology.org/2022.aacl-short.13.pdf