IJCIR Home
   About IJCIR
   Editorial Board
   Call for Papers
   Submit Papers
   Author Instructions
   Editorial Policies
 
   Webmail
   Contact Us
 
   Volume 4 (1) 2010
 
   Volume 3 (2) 2009
   Special Issue 2009
   Volume 3 (1) 2009
 
   Volume 2 (2) 2008
   Special Issue 2008
   Volume 2 (1) 2008
 
   Volume 1 (2) 2007
   Volume 1 (1) 2007
ISSN 1996-1065 [Online]
ISSN 1818-1139 [PRINT]
Volume 2 (2) 2008
Title:Towards Domain Independent Named Entity Recognition
Authors:

Fredrick E.K. & Baryamureeba Venansius *, Guy De Pauw

Published: ŠIJCIR Vol2 (2) 2008, PP. 84-95
Language: English


Abstract:
Named entity recognition is a preprocessing tool to many natural language processing tasks, such as text summarization, speech translation, and document ategorization. Many systems for named entity recognition have been developed over the past years with substantial success save for the problem of being domain specific and making it difficult to use the different systems across domains. This work attempts to surmount the problem by proposing the use of domain independent features with a aximum entropy model and a multiobjective genetic algorithm (MOGA) to select the best features. The methods used in this work are backed up by experiments of which the classifications are evaluated using two diverse domains. Conclusions are finally drawn and the outlook for future work is considered. View full Article

Categories and Subject Descriptors: I.2.7 [Artificial Intelligence]: Natural Language Processing— language parsing and understanding; I.5.2 [Pattern Recognition]: Design Methodology— Feature evaluation and selection
General Terms: Computer Science, Language Processing, Machine Learning
Additional Key Words and Phrases: domain independent, named entity recognition, multiobjective genetic
algorithm