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Event extraction from classical Arabic texts
المؤلفون المشاركون
Baradaran, Radiah
Bidgoli, Behrouz Minaei
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 12، العدد 5 (30 سبتمبر/أيلول 2015)10ص.
الناشر
تاريخ النشر
2015-09-30
دولة النشر
الأردن
عدد الصفحات
10
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
الملخص EN
Event extraction is one of the most useful and challenging information extraction tasks that can be used in many natural language processing applications in particular semantic search systems.
Most of the developed systems in this field extract events from English texts; therefore, in many other languages in particular Arabic there is a need for research in this area.
In this paper we develop a system for extracting person related events and their participants from classical Arabic texts with complex linguistic structure.
The first and most effective step to extract event is the correct diagnosis of the event mention and determining sentences which describe events.
Implementation and comparing performance and the use of various methods can help researchers to choose appropriate method for event extraction based on their conditions and limitations.
In this research, we have implemented three methods including knowledge-oriented method (based on a set of keywords and rules), data-oriented method (based on support vector machine) and semantic-oriented method (based on lexical chain) to automatically classify sentences as on-event or off-eventones.
The results indicate that knowledge oriented and machine learning methods have high precision and recall in event extraction process.
The semantic oriented method with acceptable precision minimizes the linguistic knowledge requirements of knowledge oriented method and preprocessing requirements of data oriented method; and also improves automatic event extraction process from the raw text.
Next step is developing a modular rule based approach for extracting event arguments such as time, place and other participants involved in independent subtasks.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Baradaran, Radiah& Bidgoli, Behrouz Minaei. 2015. Event extraction from classical Arabic texts. The International Arab Journal of Information Technology،Vol. 12, no. 5.
https://search.emarefa.net/detail/BIM-430982
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Baradaran, Radiah& Bidgoli, Behrouz Minaei. Event extraction from classical Arabic texts. The International Arab Journal of Information Technology Vol. 12, no. 5 (Sep. 2015).
https://search.emarefa.net/detail/BIM-430982
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Baradaran, Radiah& Bidgoli, Behrouz Minaei. Event extraction from classical Arabic texts. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 5.
https://search.emarefa.net/detail/BIM-430982
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-430982
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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