Exploiting multilingual Wikipedia to improve Arabic named entity resources
Joint Authors
Tedmori, Sara
Baltawi, Maryam
Ujan, Arafat
al-Kuz, Akram
Source
The International Arab Journal of Information Technology
Issue
Vol. 14, Issue 4A (s) (31 Jul. 2017), pp.598-607, 10 p.
Publisher
Publication Date
2017-07-31
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper focuses on the creation of Arabic named entity gazetteers, by exploiting Wikipedia and using the Naïve Bayes classifier to classify the named entities into the three main categories: person, location, and organization.
The process of building the gazetteer starts with automatically creating the datasets.
The dataset for the training is constructed using only Arabic text, whereas, the testing dataset is derived from an English text using the Stanford name entity recognizer.
A Wikipedia title existence check of these English name entities is then performed.
Next, if the named entity exists as a Wikipedia page title, a check for Arabic parallel pages is conducted.
Finally, the Naïve Bayes classifier is applied to verify or assign new name entity tag to the Arabic name entity.
Due to the lack of available resources, the proposed system is evaluated manually by calculating accuracy, recall, and precision.
Results show an accuracy of 53 %.
American Psychological Association (APA)
Ujan, Arafat& Baltawi, Maryam& Tedmori, Sara& al-Kuz, Akram. 2017. Exploiting multilingual Wikipedia to improve Arabic named entity resources. The International Arab Journal of Information Technology،Vol. 14, no. 4A (s), pp.598-607.
https://search.emarefa.net/detail/BIM-902970
Modern Language Association (MLA)
Baltawi, Maryam…[et al.]. Exploiting multilingual Wikipedia to improve Arabic named entity resources. The International Arab Journal of Information Technology Vol. 14, no. 4A (Special issue) (2017), pp.598-607.
https://search.emarefa.net/detail/BIM-902970
American Medical Association (AMA)
Ujan, Arafat& Baltawi, Maryam& Tedmori, Sara& al-Kuz, Akram. Exploiting multilingual Wikipedia to improve Arabic named entity resources. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 4A (s), pp.598-607.
https://search.emarefa.net/detail/BIM-902970
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 605-607
Record ID
BIM-902970