Incremental acquisition of search knowledge
International Journal of Human-Computer Studies
Using Ripple Down Rules for Actions and Planning
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
A hybrid approach for named entity and sub-type tagging
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Nymble: a high-performance learning name-finder
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Named entity recognition in Vietnamese using classifier voting
ACM Transactions on Asian Language Information Processing (TALIP)
VN-KIM IE: automatic extraction of Vietnamese named-entities on the web
New Generation Computing
A New Fuzzy Support Vector Machine Method for Named Entity Recognition
ICCSIT '08 Proceedings of the 2008 International Conference on Computer Science and Information Technology
Two decades of ripple down rules research
The Knowledge Engineering Review
Improved knowledge acquisition for high-performance heuristic search
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A Hybrid Approach to Vietnamese Word Segmentation Using Part of Speech Tags
KSE '09 Proceedings of the 2009 International Conference on Knowledge and Systems Engineering
Building a large syntactically-annotated corpus of Vietnamese
ACL-IJCNLP '09 Proceedings of the Third Linguistic Annotation Workshop
Incremental knowledge acquisition using generalised RDR for soccer simulation
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
Named entity recognition for Vietnamese
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
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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.