Abstract: Entity Relation Extraction is one of the important research fields in Information Extraction. Aiming at the problem of inefficiency of existing approaches dealing with entity relation extraction, this paper presented a novel approach. I}his new approach proposes seven heuristic rules to extract relation feature sequence through combining with grammar feature of Chinese text, and applies the semantic sequence kernel function with KNN learning algorithm to fulfill the entity relation extraction task. Experiments arc carried out on two kinds of relation types defined in the ACE guidelines, results show that the new approach achieves an average F-score up to 76%，significantly higher than the traditional feature-based approaches and traditional shortest path for dependency kernel approaches.

Key words: Entity relation extraction, Grammar feature, Heuristic rule, Semantic sequence kernel