Abstract: Relation extraction is an important section of information extraction, which play an crucial role in valuable information discovering.On the ground of analyzing and comparing, including supervised methods, unsupervised methods, self-supervise methods and open information extraction methods, this essay has built a Geologic Entity Relation Extraction Model, using statistical language models for relation extraction and bootstrapping models for relation extension.Finally, according to the above analysis, the experiment of incidence relation discovery and relation extension discovery were carried out.