Autolabeling of VN Combination Based on Multi-classifier
Lijiang Chen · Jisuanji gongcheng · 2008
The verb-noun combinations in Chinese often create ambiguities in parsing. This paper proposes a method to label VN combinationsautomatically by using Adaboost algorithm to combine several Bayesian classifications to identify the VN and VO constructions. It constructs thefeature vector depending on verbs, nouns and their context including the number of syllables of words. Experimental results show that this methodcan achieve reasonably good result. It achieves precision of 90.5% and recall of 88.2% without using any other resources.