One of the biggest problems with rule based systems is how to avoid the conflict between rules when a new rule is added. Ripple Down Rules (RDR) is considered a good systematic approach to address this for classification problems. In this paper, we present a system using RDR to build the set of rules for Vietnamese Named Entity Recognition which is important for many natural language processing tasks. Experimental results on comparing the proposed approach with a standard method where rules are added in an ad-hoc manner prove to be very promising. © 2012 Springer-Verlag.
CITATION STYLE
Nguyen, D. B., & Pham, S. B. (2012). Ripple down rules for Vietnamese named entity recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7653 LNAI, pp. 354–363). https://doi.org/10.1007/978-3-642-34630-9_37
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