Title
Named entity recognition for Vietnamese
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.
Year
DOI
Venue
2010
10.1007/978-3-642-12101-2_22
ACIIDS
Keywords
Field
DocType
systematic approach,important task,open source system,vietnamese ner system,entity recognition,time building rule,entity annotated corpus,large annotated corpus
Conditional random field,Entity linking,Data mining,Computer science,Support vector machine,Named entity,Natural language processing,Artificial intelligence,Vietnamese,Named-entity recognition
Conference
Volume
ISSN
ISBN
5991
0302-9743
3-642-12100-5
Citations 
PageRank 
References 
7
0.51
8
Authors
4
Name
Order
Citations
PageRank
Dat Ba Nguyen11275.87
Son Huu Hoang270.51
Son Bao Pham317522.30
Thai Phuong Nguyen48411.51