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Review of linguistic rules used for extracting entities of conceptual models from natural language text
Joint Authors
Umar, Musa Ahmad Muhammad
al-Shiki, Abd al-Rahman Abd Allah Yunus
Fayiz, Blha Hassan Nasir
Yusuf, Mahmud Ahmad
Issue
Vol. 2021, Issue 1 (30 Jun. 2021), pp.4-11, 8 p.
Publisher
الهيئة الوطنية للتعليم التقني و الفني كلية تقنيات الطاقة-إجخرة
Publication Date
2021-06-30
Country of Publication
Libya
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Designing conceptual models from natural language text that describes a problem statement can be difficult for inexperienced database designers.
Thus, many research studies attempted to improve inexperienced designer’s performance in designing conceptual models.
Researchers suggested linguistic rules for extracting entities from natural language text.
However, the rules of linguistic can provide a simple service only when creating a method for obtaining entities from text.
This paper reviewed linguistic rules and defined their limitations.
Furthermore, the paper suggested to integrate linguistic rules and machine learning classifiers for producing enhanced set of linguistic rules that can work more effectively than existing linguistic rules in extracting entities from natural language text.
American Psychological Association (APA)
Umar, Musa Ahmad Muhammad& al-Shiki, Abd al-Rahman Abd Allah Yunus& Fayiz, Blha Hassan Nasir& Yusuf, Mahmud Ahmad. 2021. Review of linguistic rules used for extracting entities of conceptual models from natural language text. Vol. 2021, no. 1, pp.4-11.
https://search.emarefa.net/detail/BIM-1475511
Modern Language Association (MLA)
Umar, Musa Ahmad Muhammad…[et al.]. Review of linguistic rules used for extracting entities of conceptual models from natural language text. No. 1 (2021), pp.4-11.
https://search.emarefa.net/detail/BIM-1475511
American Medical Association (AMA)
Umar, Musa Ahmad Muhammad& al-Shiki, Abd al-Rahman Abd Allah Yunus& Fayiz, Blha Hassan Nasir& Yusuf, Mahmud Ahmad. Review of linguistic rules used for extracting entities of conceptual models from natural language text. . 2021. Vol. 2021, no. 1, pp.4-11.
https://search.emarefa.net/detail/BIM-1475511
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-1475511