Arabic named entity recognition using phrase analysis
Other Title(s)
التعرف على المسميات في النصوص العربية بتحليل الجمل
Dissertant
Thesis advisor
Comitee Members
Ubayd, Nadim
Jasir, Idward
al-Kuz, Akram
University
Princess Sumaya University for Technology
Faculty
King Hussein Faculty for Computing Sciences
Department
Department of Computer Sciences
University Country
Jordan
Degree
Master
Degree Date
2015
English Abstract
Named Entity Recognition is one of the most important tasks in Information retrieval system, especially when it is integrated with other Natural Language process systems.
Our research focuses on Arabic Name Entity Recognition using Base Rules by extracting the Entity Names from annotated set of sentences.
The language features and morphological structures are considered to be critical for the success of the Name Entity identification.
Our system uses these features for building the rules that will be used for deciding whether a candidate Name Entity is to be selected or not.
The proposed system creates list of words and patterns then generates the rules.
And we use the algorithm to stem the words and analyze the result of the stemming.
The system is evaluated by comparing it to other existing systems.
The results show that our system can be used to improve the results of other approaches and available systems.
The results show that our approach can be considered as a component that can be integrated with other systems to improve their results
Main Subjects
No. of Pages
89
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : introduction.
Chapter Two : Arabic named entity recognition.
Chapter Three : Previous work.
Chapter Four : Production of rules.
Chapter Five : Entity named recognition systemion.
Chapter Six : Evaluation.
Conclusion.
References.
American Psychological Association (APA)
Musa, Iman. (2015). Arabic named entity recognition using phrase analysis. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-535246
Modern Language Association (MLA)
Musa, Iman. Arabic named entity recognition using phrase analysis. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology. (2015).
https://search.emarefa.net/detail/BIM-535246
American Medical Association (AMA)
Musa, Iman. (2015). Arabic named entity recognition using phrase analysis. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-535246
Language
English
Data Type
Arab Theses
Record ID
BIM-535246
