Open Access
| Issue |
MATEC Web Conf.
Volume 100, 2017
13th Global Congress on Manufacturing and Management (GCMM 2016)
|
|
|---|---|---|
| Article Number | 02051 | |
| Number of page(s) | 6 | |
| Section | Part 2: Internet +, Big data and Flexible manufacturing | |
| DOI | https://doi.org/10.1051/matecconf/201710002051 | |
| Published online | 08 March 2017 | |
- Godeny, B., Rule Based Product Name Recognition and Disambiguation., Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference on, Brussels, 2012, pp: 858–860. [Google Scholar]
- Yan Danhui, Bi Yude., Identification of a rule-based Vietnamese named entity, Journal of Chinese Information Processing, 2014. 9. [Google Scholar]
- S. Sekine, R. Grishman, and H. Shinnou, A decision tree method for finding and classifying names in Japanese texts, in. 6th Workshop on Very Large Corpora, Montreal, Canada, 1998. [Google Scholar]
- Zheng Jiaheng, Zhang Hui, Automatic identification of Chinese organization names based on, Journal of Computer Applications, 2002 (11). [Google Scholar]
- Liu Qun, Zhang Huaping, Yu Hongkui, Cheng Xueqi., Based on cascaded hidden Markov model for Chinese lexical analysis, Journal of computer research and development., 2004 (08). [Google Scholar]
- Xu-Dong Lin, Hong Peng, Bo Liu, Chinese Named Entity Recognition using Support Vector Machines., Machine Learning and Cybernetics, 2006 International Conference on, 2006, pp: 4216–4220. [Google Scholar]
- Sisouvanh Vanthanavong, Choochart Haruechaiyasak., Lao Word Segmentation Based on Conditional Random Fields. Conference on Human Language Technology for Development, Alexandria, Egypt, 2011, pp: 2–5. [Google Scholar]
- Su-Xiang Zhang, Guo-Yang Gao, Yin-Cheng Qi, and Y Wilks, personal name and location name recognition based on conditional random fields(CRFs), Proceedings of the Eighth International Confreence on Machine Learning and Cybernetics, Baoding, 2009, pp: 12–15. [Google Scholar]
- Zhang Huaping, Liu Qun, Automatic Identification of Chinese Names Based Role Labeling, 2004, 27(1), pp: 85–91. [Google Scholar]
- H. Chanlekha, and A Kawtrakul, Thai Named Entity Extraction by incorporating Maximum Entropy Model with Simple Heuristic Information, The Specialty Research Unit of Natural Language Processing and Intelligent Information System Technology, 2011, pp: 720–836. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.