• DocumentCode
    2929283
  • Title

    The Use of Horizontal Visibility Graphs to Identify the Words that Define the Informational Structure of a Text

  • Author

    Lande, D.V. ; Snarskii, A.A. ; Yagunova, E.V. ; Pronoza, E.V.

  • Author_Institution
    Inst. for Inf. Recording NAS of Ukraine, NTUU “Kiev Polytech. Inst.”, Kiev, Ukraine
  • fYear
    2013
  • fDate
    24-30 Nov. 2013
  • Firstpage
    209
  • Lastpage
    215
  • Abstract
    A compactified horizontal visibility graph for the language network and identification of the words that define the informational structure of a text is proposed. It was found that the networks constructed in such a way are scale free, and have a property that among the nodes with largest degrees there are words that determine not only communicative text structure, but also its informational structure.
  • Keywords
    graph theory; network theory (graphs); text analysis; communicative text structure; horizontal visibility graphs; language network; text informational structure; words identification; Coherence; Complex networks; Digital signal processing; Dispersion; Information retrieval; Rivers; Signal processing algorithms; TFIDF; dispersion estimated value; horizontal visibility graph; informational structure; language network; text coherence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence (MICAI), 2013 12th Mexican International Conference on
  • Conference_Location
    Mexico City
  • Print_ISBN
    978-1-4799-2604-6
  • Type

    conf

  • DOI
    10.1109/MICAI.2013.33
  • Filename
    6714670