关键词: 句子相似度, 知网, 表层相似度, 语义偏移量

Abstract:

Sentence  similarity is the basis of document  similarity, and sentence similarity computing plays an important role in the field of natural language processing. The current methods of sentence similarity computing neglect the influence of sentence structure. On the basis of the interrelated research, this paper proposes an improved method of similarity comparison. The semantic tree of sememe is constructed according to the description of entity conception in the Hownet, the semantic similarity of sememe is computed based on the relative positions in the sememe tree. Calculating of sentence similarity is based on surface similarity and semantic similarity. Under the same test conditions, the experiments show that the proposed method is much closer to the people’s comprehension to the meanings of the sentences.

Key words: sentence similarity;hownet;surface similarity;semantic offset similarity