Toward a new Arabic question answering system
Joint Authors
al-Alawi, Said
Lahbari, Iman
Zaydani, Khalid
Source
The International Arab Journal of Information Technology
Publisher
Publication Date
2018-05-31
Country of Publication
Jordan
No. of Pages
10
Main Subjects
English Abstract
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.
Data Type
Conference Papers
Record ID
BIM-896601
American Psychological Association (APA)
Lahbari, Iman& al-Alawi, Said& Zaydani, Khalid. 2018-05-31. Toward a new Arabic question answering system. International Arab Conference on Information Technology (18 : 2017 : Zarqa, Jordan). . Vol. 15, no. 3A (Special issue) (2018), pp.610-619.Zarqa Jordan : Zarqa University.
https://search.emarefa.net/detail/BIM-896601
Modern Language Association (MLA)
Lahbari, Iman…[et al.]. Toward a new Arabic question answering system. . Zarqa Jordan : Zarqa University. 2018-05-31.
https://search.emarefa.net/detail/BIM-896601
American Medical Association (AMA)
Lahbari, Iman& al-Alawi, Said& Zaydani, Khalid. Toward a new Arabic question answering system. . International Arab Conference on Information Technology (18 : 2017 : Zarqa, Jordan).
https://search.emarefa.net/detail/BIM-896601
