Automatic summarization focusing on document genre and text structure

ABSTRACT

This dissertation proposes a new automatic summarization method focusing on document genre and text structure, and verifies its effectiveness. "Document genre" refers to the type of document, such as a diary or a report. "Text structure" refers to the functional aspects of the text and divides the text into sentence units or components, according to their functional roles. This type of structure includes both the components and their organization within the text of a specific document genre. We used text structure and document genre to extract important sentences from source documents and to generate output summaries.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.7 Natural Language Processing
          Subjects: Text analysis

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
          Subjects: Linguistic processing

  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.7 Natural Language Processing
          Subjects: Language parsing and understanding

General Terms:
Algorithms, Performance