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Innovative Document Summarization Techniques

Book Description

The prevalence of digital documentation presents some pressing concerns for efficient information retrieval in the modern age. Readers want to be able to access the information they desire without having to search through a mountain of unrelated data, so algorithms and methods for effectively seeking out pertinent information are of critical importance. Innovative Document Summarization Techniques: Revolutionizing Knowledge Understanding evaluates some of the existing approaches to information retrieval and summarization of digital documents, as well as current research and future developments. This book serves as a sounding board for students, educators, researchers, and practitioners of information technology, advancing the ongoing discussion of communication in the digital age.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
  5. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. List of Reviewers
  6. Foreword
  7. Preface
  8. Acknowledgment
  9. Section 1: General-Purpose and Domain-Specific Methods
    1. Chapter 1: Classification of Sentence Ranking Methods for Multi-Document Summarization
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. EVALUATION METHODOLOGIES
      5. SENTENCE RANKING METHODS
      6. FUTURE RESEARCH DIRECTION
      7. CONCLUSION
    2. Chapter 2: Multi-Document Summarization by Extended Graph Text Representation and Importance Refinement
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2 BACKGROUND
      4. 3. THE SENTREL MULTI-DOCUMENT SUMMARIZATION ALGORITHM
      5. 4. EVALUATION
      6. 5 CONCLUSION AND FUTURE RESEARCH
    3. Chapter 3: Efficient Summarization with Polytopes
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. DEFINITIONS
      5. FROM MATRIX MODEL TO POLYTOPE
      6. OBJECTIVE FUNCTIONS FOR SUMMARIZATION
      7. EXTRACTING THE SUMMARY
      8. EXPERIMENTS
      9. CONCLUSION AND FUTURE WORK
    4. Chapter 4: Interactive Summaries by Multi-Pole Information Extraction for the Archaeological Domain
      1. ABSTRACT
      2. INTRODUCTION AND MOTIVATIONS
      3. ISET, AN INTERACTIVE TEXT SUMMARIZER
      4. EXPERIMENTS
      5. RELATED WORK
      6. CONCLUSION AND FUTURE DIRECTIONS
    5. Chapter 5: Evaluation Metrics for the Summarization Task
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. CONCLUSION
  10. Section 2: Social Networks and Web News Summarization
    1. Chapter 6: Social Network Integration in Document Summarization
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. CHALLENGES IN SOCIAL MEDIA TEXT
      4. 3. SOCIAL MEDIA SUMMARIZATION APPROACHES
      5. 4. EVALUATION
      6. 5. CONCLUSION AND FUTURE PROSPECTS
    2. Chapter 7: Approaches to Large-Scale User Opinion Summarization for the Web
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. LARGE SCALE USER OPINION SUMMARIZATION
      5. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
    3. Chapter 8: Novel Text Summarization Techniques for Contextual Advertising
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. TEXT SUMMARIZATION APPROACHES
      5. TEXT SUMMARIZATION IN CONTEXTUAL ADVERTISING
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
    4. Chapter 9: NewSum
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. NEWSUM: NEWS SUMMARIZATION IN THE REAL WORLD
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
    5. Chapter 10: New Formats and Interfaces for Multi-Document News Summarization and its Evaluation
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. KEY CONCEPTS AND FORMATS IN TEXT SUMMARIZATION
      4. 3. CHALLENGES IN EVALUATING AUTOMATED TEXT-BASED SUMMARIES
      5. 4. HOW CAN DIFFERENT FORMATS BE COMPARED? A FRAMEWORK FOR CROSS-EVALUATING TTM METHODS
      6. 5. USER-CENTRIC EVALUATION OF STORY TRACKING METHODS: A CASE STUDY
      7. 6. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
  11. Section 3: Multilingual Summarization
    1. Chapter 11: Multilingual Summarization Approaches
      1. ABSTRACT
      2. INTRODUCTION
      3. MAJOR MULTILINGUAL SUMMARIZATION APPROACHES
      4. SOME EXISTING MULTILINGUAL SUMMARIZERS
      5. MULTILINGUAL SUMMARIZATION TASK AT DUC AND TAC
      6. SUMMARY EVALUATION
      7. CONCLUSION AND FUTURE DIRECTIONS
    2. Chapter 12: Aspects of Multilingual News Summarisation
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MULTILINGUAL SUMMARISATION
      5. SUMMARY EVALUATION IN MULTIPLE LANGUAGES
      6. RESULTS
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    3. Chapter 13: Language Independent Summarization Approaches
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. TOWARDS LANGUAGE-INDEPENDENT SUMMARIZATION
      5. FUTURE RESEARCH DIRECTIONS
      6. EVALUATION
      7. CONCLUSION
  12. Compilation of References
  13. About the Contributors