Named Entity Recognition for Vietnamese

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 Vietnames...

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Bibliographic Details
Published inIntelligent Information and Database Systems pp. 205 - 214
Main Authors Nguyen, Dat Ba, Hoang, Son Huu, Pham, Son Bao, Nguyen, Thai Phuong
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
Conditional Random Field
Entity Recognition
Name Entity Recognition
Natural Language Processing
Support Vector Machine
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Summary: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.
ISBN:9783642121005
3642121004
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-12101-2_22