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NERDz: A Preliminary Dataset of Named Entities for Algerian

Domaine:

natural language processing

Type de record:

datasetpaper
Créateur:
AssTou
Éditeur:
Und
Hôte:avatar
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. To view the proceedings, please click here (aclanthology.org)

Visit

doi.orgunderline.io

Tasks

named entity recognitioninformation extraction

Languages

Arabic, Algerian Spoken

Tags

Natural Language Processing

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