张仰森,郭 江. 动态自适应加权的多分类器融合词义消歧模型[J]. 中文信息学报, 2012, 26(1): 3-9.
ZHANG Yangsen,GUO Jiang. Word Sense Disambiguation Based on Ensembled Classifier with Dynamic Weight Adaptation. , 2012, 26(1): 3-9.
动态自适应加权的多分类器融合词义消歧模型
张仰森,郭 江
北京信息科技大学 智能信息处理研究所,北京 100192
Word Sense Disambiguation Based on Ensembled Classifier with Dynamic Weight Adaptation
ZHANG Yangsen,GUO Jiang
Institute of Intelligence Information Processing, Beijing information Science and Technology University,Beijing 100192, China
Abstract：Word Sense Disambiguation (WSD) has been a hot but difficult issue of natural language processing. Ensemble method is considered as one of the four major trends in machine learning research. After a survey of machine learning methods applied in Chinese word sense disambiguation,we introduce the ensembled classifier in the pattern recognition into this issue and propose a classifier ensembled by dynamic weight adaptation. Experimental results show that the proposed classifier has improved the Chinese WDS accuracy significantly. Key wordsword sense disambiguation; classifier; ensembled classifier; context features
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