Named Entity Recognition For Vietnamese
ACIIDS'10: Proceedings of the Second international conference on Intelligent information and database systems: Part II(2010)
摘要
Named Entity Recognition is an important task but is still relatively new for Vietnamese. It is partly due to the lack of a large annotated corpus. In this paper, we present a systematic approach in building a named entity annotated corpus while at the same time building rules to recognize Vietnamese named entities. The resulting open source system achieves an F-measure of 83%, which is better compared to existing Vietnamese NER systems.
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关键词
Support Vector Machine, Natural Language Processing, Conditional Random Field, Name Entity Recognition, Entity Recognition
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