Title :
Extracting person names from Arabic newspapers
Author :
Elsebai, Ali ; Meziane, Farid
Author_Institution :
Comput. Sci. Dept., Al-Imam Muhammad Ibn Saud Univ., Riyadh, Saudi Arabia
Abstract :
Named Entity recognition is very new in the Arabic Language although it has reached the maturity stage for some other languages such as English and French. In this paper, we describe the development and implementation of a person name named entity recognition system for the Arabic Language. We use heuristics based on a set of keywords rather than complex grammars, statistical and machine learning techniques. However, the results obtained are of the same standards or better in some cases as those systems that are using more sophisticated approaches.
Keywords :
information retrieval; natural language processing; Arabic Language; Arabic newspapers; named entity recognition; person name extraction; Catalogs; Cities and towns; Data mining; Grammar; Logic gates; Natural language processing; Standards; Arabic Information Extraction; Named Entity Recognition;
Conference_Titel :
Innovations in Information Technology (IIT), 2011 International Conference on
Conference_Location :
Abu Dhabi
Print_ISBN :
978-1-4577-0311-9
DOI :
10.1109/INNOVATIONS.2011.5893875