A Hybrid Method For Extracting Relations Between Arabic Named Entities
| المصدر: | مجلة جامعة الملك سعود - علوم الحاسب والمعلومات |
|---|---|
| الناشر: | جامعة الملك سعود |
| المؤلف الرئيسي: | Boujelben, Ines (Author) |
| مؤلفين آخرين: | Jamoussi, Salma (Co-Author) , Ben Hamadou, Abdelmajid (Co-Author) |
| المجلد/العدد: | مج26, ع4 |
| محكمة: | نعم |
| الدولة: |
السعودية |
| التاريخ الميلادي: |
2014
|
| الصفحات: | 425 - 440 |
| DOI: |
10.33948/0584-026-004-008 |
| ISSN: |
1319-1578 |
| رقم MD: | 973365 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | science |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Hybrid Method | Relation Extraction | Named Entity | Machine Learning | Genetic Algorithm | Rule Based Method
|
| رابط المحتوى: |
| LEADER | 02031nam a22002537a 4500 | ||
|---|---|---|---|
| 001 | 1716268 | ||
| 024 | |3 10.33948/0584-026-004-008 | ||
| 041 | |a eng | ||
| 044 | |b السعودية | ||
| 100 | |9 524807 |a Boujelben, Ines |e Author | ||
| 245 | |a A Hybrid Method For Extracting Relations Between Arabic Named Entities | ||
| 260 | |b جامعة الملك سعود |c 2014 | ||
| 300 | |a 425 - 440 | ||
| 336 | |a بحوث ومقالات |b Article | ||
| 520 | |b Relation extraction is a very useful task for several natural language processing applications, such as automatic summarization and question answering. In this paper, we present our hybrid approach to extracting relations between Arabic named entities. Given that Arabic is a rich morphological language, we build a linguistic and learning model to predict the positions of words that express a semantic relation within a clause. The main idea is to employ linguistic modules to ameliorate the results that are obtained from a machine learning-based method. Our method achieves encouraging performance. The empirical results indicate that the hybrid approach outperformed both the rule-based system (by 12%) and the machine learning-based approaches (by 9%) in terms of the F-score, to achieve 75.2% when applied to the same standard testing dataset, ANERCorp. | ||
| 653 | |a اللسانيات الحاسوبية |a الخوارزميات الجينية |a اللغة العربية | ||
| 692 | |b Hybrid Method |b Relation Extraction |b Named Entity |b Machine Learning |b Genetic Algorithm |b Rule Based Method | ||
| 700 | |9 35471 |a Jamoussi, Salma |e Co-Author | ||
| 700 | |9 524808 |a Ben Hamadou, Abdelmajid |e Co-Author | ||
| 773 | |c 008 |e Journal of King Saud University (Computer and Information Sciences) |f Maǧalaẗ ǧamʼaẗ al-malīk Saud : ùlm al-ḥasib wa al-maʼlumat |l 004 |m مج26, ع4 |o 0584 |s مجلة جامعة الملك سعود - علوم الحاسب والمعلومات |v 026 |x 1319-1578 | ||
| 856 | |u 0584-026-004-008.pdf | ||
| 930 | |d y |p y | ||
| 995 | |a science | ||
| 999 | |c 973365 |d 973365 | ||
عناصر مشابهة
-
Minimum Redundancy And Maximum Relevance For Single And Multi Document Arabic Text Summarization
بواسطة: Oufaida, Houda منشور: (2014) -
Automatic Extraction Of Ontological Relations From Arabic Text
بواسطة: Al Zamil, Mohammed G. H. منشور: (2014) -
Detecting Named Entities in the Arabic Wikipedia
بواسطة: Lee, Mark منشور: (2014) -
Naive Bayes Classifiers For Authorship Attribution of Arabic Texts
بواسطة: Altheneyan, Alaa Saleh منشور: (2014) -
A Novel Root Based Arabic Stemmer
بواسطة: Al Kabi, Mohammed Naji منشور: (2015)
