Weakly Supervised SVM for Chinese- English Cross-lingual Subcategorization Lexicon Acquisition

DOI

10.2991/jcis.2008.111How to use a DOI?

Keywords

weakly supervised SVM, cross-lingual subcategorization, lexicon acquisition

Abstract

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.

Copyright

© 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/).

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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  -