Paper Info
Title
Arabic Named Entity Recognition - A Survey and Analysis.
Abstract
As Arabic digital data has been increasing in abundance; the need for processing this information is growing. Named entity recognition (NER) is an information extraction technique that is vital to the processes of natural language processing (NLP). The ambiguous characteristics of the Arabic language make tasks related to NER and NLP very challenging. In addition to that, work related to Arabic NER is rather limited and under-studied. In this study, we survey previous works and methodologies and provide an analysis and discussion on the feature sets used, evaluation tools and advantages and disadvantages of each technique.
Year
DOI
Venue
2016
10.1007/978-3-319-39345-2_8
Smart Innovation Systems and Technologies
DocType
Volume
ISSN
Conference
55
2190-3018
Citations 
PageRank 
References 
0
0.34
7
Authors
3
Name
Order
Citations
PageRank
Amal Dandashi1112.15
Jihad Al Ja'am231.84
Sebti Foufou338854.58