This paper proposes a networked data mining method for relations discovery from large corpus. The key idea is representing the named entities pairs and their contexts as the network structure and detecting the communities from the network. Then each community relates to a relation the named entities pairs in the same community have the same relation. Finally, we labeled the relations. Our experiment using the corpus of People's Daily reveals not only that the relations among named entities could be detected with high precision, but also that...
