TY - GEN
T1 - Person name recognition using the hybrid approach
AU - Oudah, Mai
AU - Shaalan, Khaled
PY - 2013
Y1 - 2013
N2 - Arabic Person Name Recognition has been tackled mostly using either of two approaches: a rule-based or Machine Learning (ML) based approach, with their strengths and weaknesses. In this paper, the problem of Arabic Person Name Recognition is tackled through integrating the two approaches together in a pipelined process to create a hybrid system with the aim of enhancing the overall performance of Person Name Recognition tasks. Extensive experiments are conducted using three different ML classifiers to evaluate the overall performance of the hybrid system. The empirical results indicate that the hybrid approach outperforms both the rule-based and the ML-based approaches. Moreover, our system outperforms the state-of-the-art of Arabic Person Name Recognition in terms of accuracy when applied to ANERcorp dataset, with precision 0.949, recall 0.942 and f-measure 0.945.
AB - Arabic Person Name Recognition has been tackled mostly using either of two approaches: a rule-based or Machine Learning (ML) based approach, with their strengths and weaknesses. In this paper, the problem of Arabic Person Name Recognition is tackled through integrating the two approaches together in a pipelined process to create a hybrid system with the aim of enhancing the overall performance of Person Name Recognition tasks. Extensive experiments are conducted using three different ML classifiers to evaluate the overall performance of the hybrid system. The empirical results indicate that the hybrid approach outperforms both the rule-based and the ML-based approaches. Moreover, our system outperforms the state-of-the-art of Arabic Person Name Recognition in terms of accuracy when applied to ANERcorp dataset, with precision 0.949, recall 0.942 and f-measure 0.945.
KW - Hybrid Approach
KW - Machine Learning Approach
KW - Natural Language Processing
KW - Person Name Recognition
KW - Rulebased Approach
UR - http://www.scopus.com/inward/record.url?scp=84884941005&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84884941005&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-38824-8_20
DO - 10.1007/978-3-642-38824-8_20
M3 - Conference contribution
AN - SCOPUS:84884941005
SN - 9783642388231
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 237
EP - 248
BT - Natural Language Processing and Information Systems - 18th International Conference on Applications of Natural Language to Information Systems, NLDB 2013, Proceedings
T2 - 18th International Conference on Application of Natural Language to Information Systems, NLDB 2013
Y2 - 19 June 2013 through 21 June 2013
ER -