Research on the Classification of English Semantic Relationships Based on Tensor Recursive Neural Network
Classification of semantic relationships is a basic area of semantic technology and gains wide attention.Introduces a better approach to classify semantic relationships of words,tensor recursive neural network model which uses tensor (vector-matrix pairs)to represent a single words.The model trains the data by an unsupervised and structural way,which has no more need of hand-labeled corpus and simplify the process of classification.The experiment shows that the algorithm can classify semantic relationships effectively,and the outperform improves by 5 percent.
TensorNeural NetworkClassification of Semantic Relationships
NETL
NSTL
万方数据
维普
