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This paper describes an efficient approach to improve the accuracy of a namedentity recognition system for Vietnamese. The approach combines regularexpressions over tokens and a bidirectional inference method in a sequencelabelling model. The proposed method achieves an overall $F_1$ score of 89.66%on a test set of an evaluation campaign, organized in late 2016 by theVietnamese Language and Speech Processing (VLSP) community.

Vietnamese Named Entity Recognition using Token Regular Expressions and Bidirectional Inference