Arabic Fine-Grained Entity Recognition ...
arXiv, 2023
academicJournal
Zugriff:
Traditional NER systems are typically trained to recognize coarse-grained entities, and less attention is given to classifying entities into a hierarchy of fine-grained lower-level subtypes. This article aims to advance Arabic NER with fine-grained entities. We chose to extend Wojood (an open-source Nested Arabic Named Entity Corpus) with subtypes. In particular, four main entity types in Wojood, geopolitical entity (GPE), location (LOC), organization (ORG), and facility (FAC), are extended with 31 subtypes. To do this, we first revised Wojood's annotations of GPE, LOC, ORG, and FAC to be compatible with the LDC's ACE guidelines, which yielded 5, 614 changes. Second, all mentions of GPE, LOC, ORG, and FAC (~44K) in Wojood are manually annotated with the LDC's ACE sub-types. We refer to this extended version of Wojood as WojoodF ine. To evaluate our annotations, we measured the inter-annotator agreement (IAA) using both Cohen's Kappa and F1 score, resulting in 0.9861 and 0.9889, respectively. To compute the ...
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Arabic Fine-Grained Entity Recognition ...
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Autor/in / Beteiligte Person: | Liqreina, Haneen ; Jarrar, Mustafa ; Khalilia, Mohammed ; El-Shangiti, Ahmed Oumar ; Abdul-Mageed, Muhammad |
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Veröffentlichung: | arXiv, 2023 |
Medientyp: | academicJournal |
DOI: | 10.48550/arxiv.2310.17333 |
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