Relation extraction from wikipedia articles by entities clustering
Song Liu, Fuji Ren · 2012
Wikipedia is an encyclopedia based on wiki technology. It is multilingual high quality knowledge base. In this work a episode based extraction method are proposed to extract relations from Wikipedia articles. The entities are clustered and labeled. The relation extraction is benefited by the information redundancy provided by the clusters. A strict Wikipedia entities clustering algorithm based on the category system and first sentence of the article is approached. This work required less manual assist. And the relations are abundant. The results are comparable with other works [1, 2].