ABioNER: A BERT-Based Model for Arabic Biomedical Named-Entity Recognition
ABioNER: A BERT-Based Model for Arabic Biomedical Named-Entity Recognition
About this item
Full title
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Publisher
Hoboken: Hindawi
Journal title
Language
English
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Publisher
Hoboken: Hindawi
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Scope and Contents
Contents
The web is being loaded daily with a huge volume of data, mainly unstructured textual data, which increases the need for information extraction and NLP systems significantly. Named-entity recognition task is a key step towards efficiently understanding text data and saving time and effort. Being a widely used language globally, English is taking ov...
Alternative Titles
Full title
ABioNER: A BERT-Based Model for Arabic Biomedical Named-Entity Recognition
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_0e21feb03b784535bc9732d9fc69d248
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0e21feb03b784535bc9732d9fc69d248
Other Identifiers
ISSN
1076-2787
E-ISSN
1099-0526
DOI
10.1155/2021/6633213
