Abstract: A new relation extraction method is proposed to solve the problem of relation extraction from open
Chinese free texts. In order to alleviate the difficult problem of relation triples extraction, a method based on the
relationship between attribute and concept instance triples is proposed, a large number of instances of concept
and relation triples includes explicit relation triples and contains an implicit relation triples. The relationship
triple construction contains noise and error, in view of the relationship between the ternary group is used contains
noise and wrong question, Adaboost based iterative algorithm of collaborative training methods is used to
strengthen the relationship between extraction model. Experiment is carried out on the text of the encyclopedia
entries in the field of university, and the experimental results show that the method can obtain better
performance.

Key words: collaborative training, relation extraction, relation triples, Adaboost iterative algorithm