Vietnamese Named Entity Recognition using Token Regular Expressions and Bidirectional Inference
نویسنده
چکیده
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, which achieves an overall F1 score of 89.66% on a test set of an evaluation compaign, organized in late 2016 by the Vietnamese Language and Speech Processing (VLSP) community.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1610.05652 شماره
صفحات -
تاریخ انتشار 2016