You are previewing Emerging Applications of Natural Language Processing.
O'Reilly logo
Emerging Applications of Natural Language Processing

Book Description

Over the last few years, the area of Natural Language Processing has drastically grown in recognition, not only within the research and development community, but also with industry professionals. As NLP continues to be discussed and researched, certain areas continue to grow and mature. As a result, the need for advanced research and information is in high demand. Emerging Applications of Natural Language Processing: Concepts and New Research provides pertinent and vital information that researchers, postgraduate, doctoral students, and practitioners are seeking.  This book compiles the latest discoveries and advances in NLP methodologies and applications while expanding upon various topics regarding the future of NLP. 

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. EDITORIAL ADVISORY BOARD
    2. LIST OF REVIEWERS
  5. Foreword
  6. Preface
  7. Section 1: Text Analytics
    1. Chapter 1: Multiword Expressions in NLP
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. DEFINITIONS
      4. 3. MWE CLASSES
      5. 4. PROBLEMS AND POSSIBLE SOLUTIONS
      6. 5. SOME MWE ENCODINGS AND RESOURCES
      7. 6. MWE AUTOMATIC DETECTION
      8. 7. MORE DETAIL ON VERB NOUN CONSTRUCTION AS A SPECIAL CASE OF MWE
      9. 8. EXPERIMENTS ON DETECTION OF LEXICAL FUNCTIONS IN VERB NOUN COMBINATIONS
      10. 8. CONCLUSION
    2. Chapter 2: Word Sense Disambiguation
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. KNOWLEDGE-BASED APPROACHES
      4. 3. SUPERVISED APPROACHES
      5. 4. SEMI-SUPERVISED APPROACHES
      6. 5. UNSUPERVISED APPROACHES
      7. 6. MISCELLANEOUS APPROACHES
      8. 7. BILINGUAL APPROACHES FOR WSD
      9. 8. EVALUATION METRICS
      10. 9. A CASE STUDY IN DOMAIN-SPECIFIC WSD
    3. Chapter 3: Domain Adaptation in Part-of-Speech Tagging
      1. ABSTRACT
      2. INTRODUCTION
      3. PART-OF-SPEECH TAGGING
      4. DOMAIN ADAPTATION FOR NLP
      5. DOMAIN ADAPTATION IN POS TAGGING
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
  8. Section 2: Machine Translation
    1. Chapter 4: Statistical Machine Translation
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. WORD ALIGNMENT AND WORD-BASED SMT
      4. 3. PHRASE-BASED SMT
      5. 5. TREE-BASED SMT
      6. 6. DISCRIMINATIVE TRAINING FOR SMT
      7. 7. EVALUATION
      8. 8. STATE OF THE ART AND FURTHER RESEARCH DIRECTIONS
    2. Chapter 5: A Computational Cognitive Model of Human Translation Processes
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. MODELS OF HUMAN TRANSLATION PROCESSES
      4. 3. ANALYSIS OF TRANSLATORS’ ACTIVITY DATA
      5. 4. ALTERNATING AND PARALLEL TRANSLATION PROCESSING
      6. 5. CHALLENGED AND UNCHALLENGED TRANSLATION
      7. 6. COMPUTATIONAL COGNITIVE ARCHITECTURES
      8. 7. AN ACT-R TRANSLATION PROCESS MODEL
      9. 8. A STATISTICAL TRANSLATION PROCESS MODEL
      10. 9. DISCUSSION
      11. 10. CONCLUSION AND OUTLOOK
  9. Section 3: Advanced Question Answering System
    1. Chapter 6: Advanced Question-Answering and Discourse Semantics
      1. ABSTRACT
      2. INTRODUCTION
      3. ADVANCED QUESTION-ANSWERING
      4. DISCOURSE SEMANTICS FOR ANSWERING QUESTIONS
      5. 5. FUTURE RESEARCH DIRECTIONS AND CONCLUSION
    2. Chapter 7: Interactive Question Answering
      1. ABSTRACT
      2. INTRODUCTION
      3. DIALOGUE SYSTEMS
      4. NATURAL LANGUAGE UNDERSTANDING MODULE
      5. QUESTION ANSWERING
      6. INTERACTIVE QUESTION ANSWERING SYSTEMS
      7. TYPES OF IQA SYSTEMS
      8. EVALUATION
      9. ADDITIONAL READING
  10. Section 4: Multilingual Information Access
    1. Chapter 8: Issues and Challenges in Building Multilingual Information Access Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. ISSUES AND CHALLENGES
      4. OFFLINE PROCESSING
      5. ONLINE PROCESSING
      6. RETRIEVAL
      7. RANKING
      8. OUTPUT GENERATION
      9. GENERAL APPROACHES
      10. AN APPROACH FOR BUILDING MLIA SYSTEM
      11. EVALUATION
      12. SUMMARY
    2. Chapter 9: Multilingual Information Access
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. INFORMATION RETRIEVAL SUPPORTING MLIA
      4. 3. MULTILINGUAL QUESTION ANSWERING
      5. 4. INTERACTIVE INFORMATION RETRIEVAL: THE USER’S PERSPECTIVE
      6. 5. CONCLUSION
  11. Section 5: Digital Content Management
    1. Chapter 10: Mining User-Generated Content for Social Research and Other Applications
      1. ABSTRACT
      2. INTRODUCTION
      3. MAIN TECHNICAL CHALLENGES
      4. APPLICATIONS RELATED TO USER-GENERATED CONTENT ANALYSIS
      5. FUTURE TRENDS AND RESEARCH OPPORTUNITIES
      6. ETHICAL AND LEGAL ISSUES
      7. CONCLUSION
      8. APPENDIX: Recent Conferences and Events Addressing User-Generated Content Analysis Related Problems
    2. Chapter 11: NLP and Digital Library Management
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND: DIGITAL LIBRARIES, DOCUMENT MANAGEMENT, AND NLP
      4. OVERVIEW OF NLP TOOLS IN DOCUMENT MANAGEMENT
      5. A CLOSER LOOK AT SOME CHALLENGES FOR DIGITAL LIBRARY MANAGEMENT
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
  12. Section 6: Speech Processing
    1. Chapter 12: Speechreading using Modified Visual Feature Vectors
      1. ABSTRACT
      2. INTRODUCTION
      3. AUDIO AND VISUAL SIGNAL PROCESSING
      4. AUDIO FRONT-END
      5. VISUAL FRONT END
      6. RECOGNITION METHODS
      7. INTEGRATION OF AUDIO AND VISUAL SIGNALS
      8. AUDIO-VISUAL DATABASE
      9. PROPOSED LIP READING SYSTEM
      10. FACTORS AFFECTING PERFORMANCE
      11. SUMMARY
  13. Compilation of References
  14. About the Contributors