Research on mixed model-based Chinese relation extraction

Relation Extraction is an important research field in Information Extraction. In this paper, we present a novel mixed model to extract relation between named entities in Chinese, which combines the merits of both feature based method and tree kernel based method. Feature based method captures the language information of the text, while, the tree kernel based method shows the structured information of the text. We evaluate the proposed model on the ACE (Automatic Content Extraction) 2005 corpus. The experiments show that our model can identify the majority of the non-relational instances and also has a good precision and recall rate on the identification of various relation types.