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Arabic Information Retrieval: A Relevancy Assessment Survey

Ababneh, Ahmad, Lu, Joan and Xu, Qiang (2016) Arabic Information Retrieval: A Relevancy Assessment Survey. In: ISD2016 Proceedings. ISD, pp. 345-357. ISBN 9788378753070

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Abstract

The paper presents a research in Arabic Information Retrieval (IR). It surveys the impact of statistical and morphological analysis of Arabic text in improving Arabic IR relevancy. We investigated the contributions of Stemming, Indexing, Query Expansion, Text Summarization (TS), Text Translation, and Named Entity Recognition (NER) in enhancing the relevancy of Arabic IR. Our survey emphasizing on the quantitative relevancy measurements provided in the surveyed publications. The paper shows that the researchers achieved significant enhancements especially in building accurate stemmers, with accuracy reaches 97%, and in measuring the impact of different indexing strategies. Query expansion and Text Translation showed positive relevancy effect. However, other tasks such as NER and TS still need more research to realize their impact on Arabic IR.

Item Type: Book Chapter
Additional Information: Paper presented at the 25th International Conference on Information Systems Development ISD 2016 Poland
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Schools: School of Computing and Engineering
Related URLs:
Depositing User: Ahmad Ababneh
Date Deposited: 09 Mar 2017 09:34
Last Modified: 09 Mar 2017 09:39
URI: http://eprints.hud.ac.uk/id/eprint/31385

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