Weakly Supervised SVM for Chinese- English Cross-lingual Subcategorization Lexicon Acquisition
Xiwu Han1, Chengguo Lv, Tiejun Zhao
1School of Computer Science and Technology
Available Online December 2008.
- 10.2991/jcis.2008.111How to use a DOI?
- weakly supervised SVM, cross-lingual subcategorization, lexicon acquisition
This paper describes experiments and the results of Chinese-English cross-lingual subcategorization lexicon acquisition based on a weakly supervised SVM method. Previous similar researches are mostly focused on statistical filtering, and there is no supervised training for the generation of hypotheses. Therefore, all these methods are unsupervised, whereas in our experiment the unsupervised hypothesis generator is replaced with an SVM classifier. And the weakly supervised SVM method was also used successfully for bilingual corpus preparation. Results of experiments indicate statistically significant improvement in the general cross-lingual acquisition performance.
- © 2008, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiwu Han AU - Chengguo Lv AU - Tiejun Zhao PY - 2008/12 DA - 2008/12 TI - Weakly Supervised SVM for Chinese- English Cross-lingual Subcategorization Lexicon Acquisition BT - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008) PB - Atlantis Press SP - 661 EP - 667 SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2008.111 DO - 10.2991/jcis.2008.111 ID - Han2008/12 ER -