SOM of Syntactic and Semantic Features Based on Chinese Sentences with Multi-Category Words

摘要：

In this paper,SOM (self-organizing map) neural networks is introduced to Chinese multi-category words.Chinese multi-category words are those words which are of the same Chinese characters and different syntactic functions and meanings.If we only select characters of target sentences as the features of SOM,these multi-category words with the same characters will be mapped in same output nodes,however,brains neuroimaging of multi-category words with same characters and different functions will be mapped in different cortex area.Here we are used of the syntactic and semantic features to describe word sense of Chinese multi-category words.According to our experimental results,the syntactic and semantic features can distinguish effectively these multi-category words with same characters and different functions,and clustering result of SOM is distributed in different output nodes.It is coincident with human brains neuroimaging.

作者: Yan Shi Lin Wang Rui Liu Minghu Jiang

作者单位: Lab of Computational Linguistics,School of Humanities and Social Sciences,Tsinghua University,Beijin Center for Biomedical Engineering,School of Electronics Engineering,Beijing University of Posts and Lab of Computational Linguistics,School of Humanities and Social Sciences,Tsinghua University,Beijin

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）