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The Application of Transformation-based Learning in the Development of a Named Entity Recognition System for Filipino Text

Quervin Lloyd L. Buco, John Lester L. Capcap, Jayvee Carlo A. Hermocilla, Carmina S. Yumul, Ria A. Sagum, and Angelito G. Pastrana
CCIS, Polytechnic University of the Philippines, Manila, Philippines
Abstract – In this paper, the researchers define the task of named entity recognition and its role in information extraction, data mining, and most importantly, natural language processing. It discussed the implementation of the transformation-based learning algorithm in the creation of the named entity recognition system for the Filipino language, and evaluated the system’s performance in comparison with another named entity recognition system which used a rule-based algorithm.

Index Terms – data mining, information Extraction, natural language processing, transformation-based learning

Cite: Quervin Lloyd L. Buco, John Lester L. Capcap, Jayvee Carlo A. Hermocilla, Carmina S. Yumul, and Ria A. Sagum, and Angelito G. Pastrana, "The Application of Transformation-based Learning in the Development of a Named Entity Recognition System for Filipino Text," Journal of Industrial and Intelligent Information, Vol.1, No.1, pp. 1-5, March 2013. doi: 10.12720/jiii.1.1.1-5
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