Shiru Zhang1, Zhiyao Liang1, *, Jian Lin2
CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 943-957, 2020, DOI:10.32604/cmc.2020.08800
Abstract Calculating the semantic similarity of two sentences is an extremely
challenging problem. We propose a solution based on convolutional neural networks
(CNN) using semantic and syntactic features of sentences. The similarity score between
two sentences is computed as follows. First, given a sentence, two matrices are
constructed accordingly, which are called the syntax model input matrix and the semantic
model input matrix; one records some syntax features, and the other records some
semantic features. By experimenting with different arrangements of representing the
syntactic and semantic features of the sentences in the matrices, we adopt the most
effective way of constructing… More >
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