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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: DEStech Transactions on Engineering and Technology Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.