Data[]
- [N09]: Vietnamese constituent treebank (VTB), 10K sentences [1]
- VLSP 2013: POS Tagging Task, 28K sentences
Kết quả tự báo cáo[]
Method
|
Author
|
Year
|
Accuracy (%)
|
Evaluation setup
|
Vitk
|
Lê Hồng Phương
|
2016
|
95
|
N/A
|
pyvi
|
Viet-Trung Tran
|
2016
|
92.5
|
N/A
|
RDRPOSTagger
|
Nguyễn Quốc Đạt [2] [3]
|
2016
|
92.8
|
5-fold CV, VTB
|
VCCorp System
|
VCCorp
|
2016
|
94.5
|
N/A
|
vnTagger
|
Lê Hồng Phương [4]
|
2010
|
93.4
|
10-fold CV, VTB
|
Tham khảo[]
- ↑ Building a large syntactically-annotated corpus of Vietnamese. P. T. Nguyen, X. L. Vu, T. M. H. Nguyen, V. H. Nguyen, H. P. Le. ACL-IJCNLP 2009, pdf
- ↑ Dat Quoc Nguyen, Dai Quoc Nguyen, Dang Duc Pham and Son Bao Pham. A Robust Transformation-Based Learning Approach Using Ripple Down Rules for Part-of-Speech Tagging. AICom 2016, pdf
- ↑ RDRPOSTagger: A Ripple Down Rules-based Part-Of-Speech Tagger. Dat Quoc Nguyen, Dai Quoc Nguyen, Dang Duc Pham and Son Bao Pham. EACL 2014, pdf
- ↑ Le-Hong, P., T M H. Nguyen, M. Rossignol, and A. Roussanaly. An empirical study of maximum entropy approach for part-of-speech tagging of Vietnamese texts. TALN 2010 pdf