• DocumentCode
    1679798
  • Title

    Measuring Sentence Similarity from Both the Perspectives of Commonalities and Differences

  • Author

    ChukFong Ho ; Murad, Masrah Azrifah Azmi ; Doraisamy, Shyamala C. ; Kadir, Rabiah Abdul

  • Author_Institution
    Dept. of Inf. Syst., Univ. Putra Malaysia, Seri Kembangan, Malaysia
  • Volume
    1
  • fYear
    2010
  • Firstpage
    318
  • Lastpage
    322
  • Abstract
    Similarity between two sentences can be determined by either comparing their commonalities or their differences. Commonalities, which reflect similarity judgment, connect the two sentences while differences, which reflect dissimilarity judgment, represent the unique way of self-identification. Although both of them are essential in determining sentence similarity, however, the existing methods only focus on single perspective, mostly the perspective of commonalities. This paper presents a method which calculates the sentence similarity from multiple perspectives by taking both the commonalities and differences into consideration. The experimental result on a standard data set shows that the proposed method outperforms the baseline, which is the existing most outstanding single perspective measure, with statistically significant improvement.
  • Keywords
    natural language processing; commonality perspective; difference perspective; dissimilarity judgment; sentence similarity measurement; similarity judgment; Correlation; Humans; Knowledge based systems; Machine learning; Semantics; Smoothing methods; Training data; commonality; difference; dissimilarity; knowledge-based; sentence similarity; word similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on
  • Conference_Location
    Arras
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4244-8817-9
  • Type

    conf

  • DOI
    10.1109/ICTAI.2010.53
  • Filename
    5670056