Research on Sentence Similarity Based on VSM with Semantic of Word
Lou Xin-yuan · Journal of Chengdu University of Information Technology · 2012
Vector Space Model is often used for calculating the similarity of two sentences.By converting two sentences into term vectors,we can get two sentences' similarity by calculating the cosine of two vectors.Traditional Vector Space Model doesn't consider the similarity of words in two sentences,so if using this model to calculate two sentences with near-synonym,it will get a low similarity score.This paper proposes a new Vector Space Model with semantic of word,adds similarity of words to traditional Vector Space Model,then makes the result similarity score more accurate.