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2008 Second International Conference on Future Generation Communication and Networking
Question Classification Based on Incremental Modified Bayes
December 13-December 15
ISBN: 978-0-7695-3431-2
| ASCII Text | x | ||
| Li Ying-wei, Yu Zheng-tao, Meng Xiang-yan, Che Wen-gang, Mao Cun-li, "Question Classification Based on Incremental Modified Bayes," Future Generation Communication and Networking, vol. 2, pp. 149-152, 2008 Second International Conference on Future Generation Communication and Networking, 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/FGCN.2008.40, author = {Li Ying-wei and Yu Zheng-tao and Meng Xiang-yan and Che Wen-gang and Mao Cun-li}, title = {Question Classification Based on Incremental Modified Bayes}, journal ={Future Generation Communication and Networking}, volume = {2}, year = {2008}, isbn = {978-0-7695-3431-2}, pages = {149-152}, doi = {http://doi.ieeecomputersociety.org/10.1109/FGCN.2008.40}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Future Generation Communication and Networking TI - Question Classification Based on Incremental Modified Bayes SN - 978-0-7695-3431-2 SP149 EP152 A1 - Li Ying-wei, A1 - Yu Zheng-tao, A1 - Meng Xiang-yan, A1 - Che Wen-gang, A1 - Mao Cun-li, PY - 2008 KW - Question Classification KW - Incremental Learning KW - Bayes VL - 2 JA - Future Generation Communication and Networking ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FGCN.2008.40
How to use the incremental training corpus to improve the question classification accuracy rate in the process of question classification based on statistic learning. A question classification method based on the incremental modified Bayes was presented in this paper. The method used the modified Bayes and combined the incremental learning to correct the parameter by the incremental training set stage by stage, and established the question classification model based on the incremental modified Bayes. A question classification experiment was done in the domain of Yunnan tourism, the experimental results showed that the presented method evidently excelled than the modified Bayes method in the accuracy rate and the training time, the average accuracy rate was improved 3.3 percentage points than the accuracy rate of the modified Bayes method; the average training time was improved 39.1 percentage points than the training time efficiency of the modified Bayes method.
Index Terms:
Question Classification, Incremental Learning, Bayes
Citation:
Li Ying-wei, Yu Zheng-tao, Meng Xiang-yan, Che Wen-gang, Mao Cun-li, "Question Classification Based on Incremental Modified Bayes," fgcn, vol. 2, pp.149-152, 2008 Second International Conference on Future Generation Communication and Networking, 2008
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