Toward a new Arabic question answering system

المؤلفون المشاركون

al-Alawi, Said
Lahbari, Iman
Zaydani, Khalid

المصدر

The International Arab Journal of Information Technology

الناشر

جامعة الزرقاء

تاريخ النشر

2018-05-31

دولة النشر

الأردن

عدد الصفحات

10

التخصصات الرئيسية

العلوم التربوية

الملخص الإنجليزي

Question Answering Systems (QAS) aim at returning precise answers to user’s questions that are written in natural language.

In this paper, we describe our question processing and document retrieval as two components of Arabic QAS.

First, we present Arabic question classification method based on SVM classifier and Li and Roth’s [24] taxonomy.

Then, we describe our proposed technique to transform an Arabic question, to a query which is available to get information from the Arabic Wikipedia.

In this paper, we use a hybrid Arabic Part-of-Speech (POS) tagging and Arabic WordNet (AWN) for query expansion.

We have conducted several experiments using Text Retrieval Conference (TREC) and Cross Lingual Evaluation Forum (CLEF) datasets.

The obtained results have shown that the proposed method is more effective as compared with the existing methods.

نوع البيانات

أوراق مؤتمرات

رقم السجل

BIM-896601

• APA
• MLA
• AMA