Automatic Summarization

With The Explosion In The Quantity Of On-line Text And Multimedia Information In Recent Years, There Has Been A Renewed Interest In Automatic Summarization. This Book Provides A Systematic Introduction To The Field, Explaining Basic Definitions, The Strategies Used By Human Summarizers, And Automatic Methods That Leverage Linguistic And Statistical Knowledge To Produce Extracts And Abstracts. Drawing From A Wealth Of Research In Artificial Intelligence, Natural Language Processing, And Information Retrieval, The Book Also Includes Detailed Assessments Of Evaluation Methods And New Topics Such As Multi-document And Multimedia Summarization. Previous Automatic Summarization Books Have Been Either Collections Of Specialized Papers, Or Else Authored Books With Only A Chapter Or Two Devoted To The Field As A Whole. This Is The First Textbook On The Subject, Developed Based On Teaching Materials Used In Two One-semester Courses. To Further Help The Student Reader, The Book Includes Detailed Case Studies, Accompanied By End-of-chapter Reviews And An Extensive Glossary.audience: Students And Researchers, As Well As Information Technology Managers, Librarians, And Anyone Else Interested In The Subject.