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A new approach for Arabic named entity recognition
Joint Authors
Karaa, Wahiba
Sulaymani, Thabit
Source
The International Arab Journal of Information Technology
Issue
Vol. 14, Issue 3 (31 May. 2017), pp.332-338, 7 p.
Publisher
Publication Date
2017-05-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
A Named Entity Recognition (NER) plays a noteworthy role in Natural Language Processing (NLP) research, since it makes available the detection of proper nouns in unstructured texts.
NER makes easier searching, retrieving, and extracting information seeing as the significant information in texts is usually sited around proper names.
This paper suggests an efficient approach that can identify Named Entities (NE) in Arabic texts without the need for morphological or syntactic analysis or gazetteers.
The goal of our approach is to provide a general framework for Arabic NE recognition.
Within this framework; the system learns the recognition of NE automatically and induces NE systematically, starting from sample NE instances as seeds.
This method takes advantage from the web, the approach learns from a web corpus.
The seeds are used to identify the contexts in the web denoting NE and then the contexts identify new NE.
Thorough experimental evaluation of our approach, the performances measured by recall, precision and f-measure conducted to recognize NE are promising.
We obtained an overall rate of F-measure equal to 83%.
American Psychological Association (APA)
Karaa, Wahiba& Sulaymani, Thabit. 2017. A new approach for Arabic named entity recognition. The International Arab Journal of Information Technology،Vol. 14, no. 3, pp.332-338.
https://search.emarefa.net/detail/BIM-819524
Modern Language Association (MLA)
Karaa, Wahiba& Sulaymani, Thabit. A new approach for Arabic named entity recognition. The International Arab Journal of Information Technology Vol. 14, no. 3 (2017), pp.332-338.
https://search.emarefa.net/detail/BIM-819524
American Medical Association (AMA)
Karaa, Wahiba& Sulaymani, Thabit. A new approach for Arabic named entity recognition. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 3, pp.332-338.
https://search.emarefa.net/detail/BIM-819524
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 336-337
Record ID
BIM-819524