An Algorithm for Semantic Similarity of Short Text Based on WordNet

ZHAI Yan-dong; WANG Kang-ping; ZHANG Dong-na; HUNAG Lan; ZHOU Chun-guang

doi:10.3969/j.issn.0372-2112.2012.03.035

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An Algorithm for Semantic Similarity of Short Text Based on WordNet

更新时间：2025-07-16

- An Algorithm for Semantic Similarity of Short Text Based on WordNet
- Acta Electronica Sinica Vol. 40, Issue 3, Pages: 617-620(2012)
- 作者机构：
  
  1. 吉林大学计算机科学与技术学院,吉林,长春,130012
  2. 吉林大学符号计算与知识工程教育部重点实验室,吉林,长春,130012
  3. 吉林大学计算机科学与技术学院吉林长春,130012
  4. 吉林大学符号计算与知识工程教育部重点实验室吉林长春,130012
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2012.03.035
  CLC： TP16
- Published：2012
- 稿件说明：
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ZHAI Yan-dong, WANG Kang-ping, ZHANG Dong-na, et al. An Algorithm for Semantic Similarity of Short Text Based on WordNet[J]. Acta Electronica Sinica, 2012, 40(3): 617-620.
DOI：

ZHAI Yan-dong, WANG Kang-ping, ZHANG Dong-na, et al. An Algorithm for Semantic Similarity of Short Text Based on WordNet[J]. Acta Electronica Sinica, 2012, 40(3): 617-620. DOI： 10.3969/j.issn.0372-2112.2012.03.035.

摘要

短文本语义相似性计算在文献检索、信息抽取、文本挖掘等方面应用日益广泛.本文提出了一种短文本语义相似性计算算法ST-CW.此算法使用WordNet和Brown文集来计算文本中的概念相似性

在此基础上提出了一个新的方法综合考虑概念、句法等信息来计算短文本的语义相似性.在RB及Miller数据集上进行实验

实验结果验证了算法的有效性.

Abstract

The algorithm for semantic similarity of short text is used widely in document retrieval

information extraction and text mining.An algorithm for semantic similarity of short text named ST-CW is presented.The algorithm calculates semantic similarity of concept based on WordNet and The Brown Corpus

and then a formula is presented which refers to both concept similarity and syntactic information in short text.The evaluations are conducted on RB and Miller dataset.

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