A novel entity relation extraction approach based on micro-blog

Entity relation extraction is a key task in information extraction. The purpose is to find out the semantic relation between entities in the text. An im-proved tree kernel-based method for relation extraction described in this paper adds the predicate verb information associated with entity, prunes the original parse tree, and removes some redundant structure on the basis of the Path-enclosed Tree. The experiment shows that the proposed method delivered better performance than existing methods.