Using grammar patterns to evaluate semantic similarity for short texts

J. W. Chang, M. C. Lee, T. I. Wang, C. Y. Su, T. C. Hsieh

研究成果: Conference contribution

6 引文 斯高帕斯(Scopus)

摘要

This study introduced a novel algorithm to compute similarities between natural languages. Using syntactical relationships derived from natural languages, the algorithm proposed a semantic structural model and quantified natural languages using the word similarity method based on WordNet and lexical databases. The experimental results indicated that the algorithm could yield optimal results in semantic recognition when applied to sentences or short texts that are grammatically complex or relatively long (longer than 12 words). The contribution of this study is in its conversion of the grammar of different natural languages into a unified semantic structure, through which the semantic similarity of two sentences or short texts can be obtained by comparison. This study aimed to enhance the capability of computers for fuzzy concept processing, which can be applied to the fields of search engines and artificial intelligence. For instance, in search engines, sentences or short text-based concepts may be semantically structured to replace key-word based queries when executing search tasks. In the field of artificial intelligence, this capability may be applied to intelligent agents to smooth the process of interaction between humans and machines.

原文English
主出版物標題Proceedings - 2012 8th International Conference on Computing Technology and Information Management, ICCM 2012
頁面548-553
頁數6
出版狀態Published - 2012 十月 8
事件2012 8th International Conference on Computing Technology and Information Management, ICCM 2012 - Seoul, Korea, Republic of
持續時間: 2012 四月 242012 四月 26

出版系列

名字Proceedings - 2012 8th International Conference on Computing Technology and Information Management, ICCM 2012
2

Other

Other2012 8th International Conference on Computing Technology and Information Management, ICCM 2012
國家/地區Korea, Republic of
城市Seoul
期間12-04-2412-04-26

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信
  • 資訊系統

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