Abstract
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. © 2010 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Nguyen, D. B., Hoang, S. H., Pham, S. B., & Nguyen, T. P. (2010). Named entity recognition for Vietnamese. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5991 LNAI, pp. 205–214). https://doi.org/10.1007/978-3-642-12101-2_22
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