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Named Entity Recognition in Pre-modern Arabic Biographical Texts

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type , Article 30 Jun 2023Publisher:Zenodo
Authors: Ishida, Yuri; Baba, Kensuke; Baba, Takahiro;

doi: 10.5281/zenodo.8228484 , 10.5281/zenodo.8107572 , 10.5281/zenodo.8107571 , 10.5281/zenodo.8228483

Named Entity Recognition in Pre-modern Arabic Biographical Texts

Abstract

This study aims to extract people's names from pre-modern Arabic texts. The proposed dictionary-based model eliminates the influence of foreign words and extracts both first names and surnames from three selected corpora. It resolves two fundamental problems faced while performing Named Entity Recognition in Modern Standard Arabic studies.

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Keywords

Paper, History, Arabic, Prosopography, personography, Islamic Studies, digital biography, Named Entity Recognition, Computer science, Theology and religious studies, and prosopography, Poster, natural language processing, artificial intelligence and machine learning, Natural Language Processing, Asian studies

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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