Research of Entity Relation Extraction Model Based on Dependency Parsing Neural Network

Abstract

Relation entity extraction is an important research topic in the field of information extraction. The paper proposes an entity relation extraction model based on dependency parsing neural network, in which the dependency relations between sentences are analyzed via dependency parsing, and reveal the syntactic structure of the sentence. Experiments on several data sets show that the proposed model can improves the accuracy by 15% compared with the other method for the Chinese entity relation extraction.