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A Multi-document Summarization System for Sociology Dissertation Abstracts: Design, Implementation and Evaluation

  • Shiyan Ou
  • Christopher S. G. Khoo
  • Dion H. Goh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3652)

Abstract

The design, implementation and evaluation of a multi-document summarization system for sociology dissertation abstracts are described. The system focuses on extracting variables and their relationships from different documents, integrating the extracted information, and presenting the integrated information using a variable-based framework. Two important summarization steps – information extraction and information integration were evaluated by comparing system-generated output against human-generated output. Results indicate that the system-generated output achieves good precision and recall while extracting important concepts from each document, as well as good clusters of similar concepts from the set of documents.

Keywords

Important Concept Information Extraction Information Integration Contextual Relation Dissertation Abstract 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Shiyan Ou
    • 1
  • Christopher S. G. Khoo
    • 1
  • Dion H. Goh
    • 1
  1. 1.Division of Information Studies, School of Communication & InformationNanyang Technological UniversitySingapore

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