Abstract: Relation trigger words and the singlelayer gated recurrent unit model were used for relation extraction in order to reduce the complexity of the relation extraction model structure and improve the training efficiency of the model. By calcul
ating the dependency distance and the sequence distance of the words, we obtained relation trigger words, and used the singlelayer gated recurrent unit model to extract relations. The experiment was performed on the SemEval 2010 Task 8 dataset. The experimental results show that the method can effectively extract the relation trigger words, and has higher accuracy of relation extraction.

Key words: relation extraction, relation trigger word, syntactic dependency parsing, Word2Vec model, gated recurrent unit (GRU)