A Hybrid Approach for Chinese Named Entity Recognition
DS '02 Proceedings of the 5th International Conference on Discovery Science
Association Rules Mining for Name Entity Recognition
WISE '03 Proceedings of the Fourth International Conference on Web Information Systems Engineering
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
Unsupervised named entity classification models and their ensembles
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
VN-KIM IE: automatic extraction of Vietnamese named-entities on the web
New Generation Computing
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
Construction of Vietnamese corpora for named entity recognition
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Extracting named entities using support vector machines
KDLL'06 Proceedings of the 2006 international conference on Knowledge Discovery in Life Science Literature
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
Ripple down rules for vietnamese named entity recognition
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
VNLP: an open source framework for Vietnamese natural language processing
Proceedings of the Fourth Symposium on Information and Communication Technology
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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.