Extracting Personae Interactive Relation in Chinese Microblog Based on an Improved Dependency Trigram Kernel
As the rapid development of social media,microblog has arrested a lot of attention.However,the automatic information extraction task of the microblog is relatively rare because the microblog text is quite complex and irregular.In this paper,we utilized dependency trigram kernel to construct persons relations extraction model.Firstly,we described the dependency trigram kernel (DTK) for relations extraction.Secondly,we used words semantic similarity tool HowNet to improve semantic similarity of dependency trigrams words.And then we proposed (POS,GR) (Part of Speech,Grammatical role) pair to improve dependency trigrams words syntax similarity.Finally,we evaluated the validity of the relation extraction model by experimenting,and the results of experiment show that the F-value of our improved DTK is higher than original DTK for microblog persons relation extraction.
persons relation extraction dependency trigram kernel microblog
Anzhen Yang Yajun Du Qingrui Meng
School of Computer and Software Engineering, Xihua University, Chengdu Sichuan 610039, China Tibet FeiYue Intelligent Technology CO., LTD, China
国际会议
重庆
英文
107-111
2016-03-21（万方平台首次上网日期，不代表论文的发表时间）