Comparing Open Arabic Named Entity Recognition Tools. (arXiv:2205.05857v1 [cs.CL])

Web: http://arxiv.org/abs/2205.05857

The main objective of this paper is to compare and evaluate the performances
of three open Arabic NER tools: CAMeL, Hatmi, and Stanza. We collected a corpus
consisting of 30 articles written in MSA and manually annotated all the
entities of the person, organization, and location types at the article
(document) level. Our results suggest a similarity between Stanza and Hatmi
with the latter receiving the highest F1 score for the three entity types.
However, CAMeL achieved the highest precision …

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