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Study on geologic entity relation extraction method based on literature

LYU Pengfei;WANG Chunning;ZHU Yueqin;National Geological Library of China;University of Chinese Academy of Sciences;Development and Research Center;Key Laboratory of Geological Information Technology of Ministry of Land and Resources;  
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.
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