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الرئيسية > A Hybrid Method For Extracting...>الوصف

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:
اللسانيات الحاسوبية | الخوارزميات الجينية | اللغة العربية
كلمات المؤلف المفتاحية:
Hybrid Method | Relation Extraction | Named Entity | Machine Learning | Genetic Algorithm | Rule Based Method
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المستخلص: 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.
ISSN: 1319-1578

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