Vietnamese Named Entity Recognition using Token Regular Expressions and Bidirectional Inference

Phuong Le-Hong

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arXiv · 1610.05652

Vietnamese Named Entity Recognition using Token Regular Expressions and Bidirectional Inference

Phuong Le-Hong

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Abstract

This paper describes an efficient approach to improve the accuracy of a named entity recognition system for Vietnamese. The approach combines regular expressions over tokens and a bidirectional inference method in a sequence labelling 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 the Vietnamese Language and Speech Processing (VLSP) community.

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Phuong Le-Hong. 2016-10-18. Vietnamese Named Entity Recognition using Token Regular Expressions and Bidirectional Inference. https://arxiv.org/abs/1610.05652

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