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  • 标题:A SENTENCE SEMANTIC SIMILARITY CALCULATING METHOD BASED ON SEGMENTED SEMANTIC COMPARISON
  • 本地全文:下载
  • 作者:YUNTONG LIU ; YANJUN LIANG
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2013
  • 卷号:48
  • 期号:1
  • 页码:231-235
  • 出版社:Journal of Theoretical and Applied
  • 摘要:In order to calculate sentence semantic similarity more accurately, a sentence semantic similarity calculating method based on segmented semantic comparison was proposed. Sentences would be divided into the trunk and the other segments by some grammar rules, and each segment might be divided into several shorter segments. When calculating the sentence semantic similarity between two sentences, the trunk and the other segments were set different weights, and the grammatical and semantic structure of the sentences would be analyzed, and the reasonable grammatical orders for segments in the two sentences would be chosen. With the method, the more reasonable and accurate sentence semantic similarity between two sentences could be calculated. Finally an experiment was provided to verify the effectiveness of the method.
  • 关键词:Sentence Semantic Similarity; Semantic Similarity Calculating; Trunk of Sentence; Segments of Sentence
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