Extracting Personae Interactive Relation in Chinese Microblog Based on an Improved Dependency Trigram Kernel

Abstract

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 trigram's words. And then we proposed "(POS,GR) (Part of Speech,Grammatical role)" pair to improve dependency trigram's 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.