APPLICATION-ORIENTED COMPARISON AND EVALUATION OF SIX SEMANTIC SIMILARITY MEASURES BASED ON WORDNET
In the task of auto-building a Chinese-English semantic lexicon for translation selection, this research presents a method, which introduces WordNet similarity measures to wash out misaligned Chinese-English word pairs. Six different proposed measures of similarity based on WordNet were experimentally compared and evaluated by using WordNet and the software package WordNet::Similarity1. It was found that the leader measure is res and lch, then wup, lin takes the fourth place, thenjcn, and random is the tailender.
WordNet WordNet::Similarity Synset semantic similarity relatedness
PENG-YUAN LIU TIE-JUN ZHAO XIAO-FENG YU
MOE-MS Key Laboratory of NLP & Speech, HIT, School of Computer Science Harbin Institute of Technology, Harbin,Heilongjiang, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
2605-2610
2006-08-13(万方平台首次上网日期,不代表论文的发表时间)