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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2012 8th International Conference on Computing Technology and Information Management, ICCM 2012
Pages548-553
Number of pages6
Publication statusPublished - 2012 Oct 8
Event2012 8th International Conference on Computing Technology and Information Management, ICCM 2012 - Seoul, Korea, Republic of
Duration: 2012 Apr 242012 Apr 26

Publication series

NameProceedings - 2012 8th International Conference on Computing Technology and Information Management, ICCM 2012
Volume2

Other

Other2012 8th International Conference on Computing Technology and Information Management, ICCM 2012
Country/TerritoryKorea, Republic of
CitySeoul
Period12-04-2412-04-26

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

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