• DocumentCode
    2544233
  • Title

    An SPN based methodology for document understanding

  • Author

    Bourbakis, Nikolaos G. ; Manaris, Bill

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tech. Univ. of Crete, Chania, Greece
  • fYear
    1998
  • fDate
    10-12 Nov 1998
  • Firstpage
    10
  • Lastpage
    15
  • Abstract
    The paper presents a methodology for document processing and understanding. The methodology assumes that text paragraphs have been separated from the text images and that the necessary interrelationships are for a possible reconstruction of the original page. Each text line forms a natural language text which requires analysis in order to contribute to text understanding. The analysis is based on the formal representation and processing of natural language text by using stochastic Petri nets (SPNs). Text understanding is based on the semantic analysis/synthesis of SPN forms for the appropriate interpretations. These interpretations in combinations with image descriptions and/or objects extracted from images contribute to document understanding
  • Keywords
    Petri nets; document handling; feature extraction; natural language interfaces; natural languages; stochastic systems; SPN based methodology; SPN forms; document processing; document understanding; formal representation; image descriptions; natural language text; object extraction; reconstruction; semantic analysis/synthesis; stochastic Petri nets; text images; text line; text paragraphs; text understanding; Computer science; Humans; Image reconstruction; Intelligent systems; Natural language processing; Natural languages; Petri nets; Stochastic processes; System testing; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1998. Proceedings. Tenth IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1082-3409
  • Print_ISBN
    0-7803-5214-9
  • Type

    conf

  • DOI
    10.1109/TAI.1998.744741
  • Filename
    744741