Automatic Summarization (Natural Language Processing) by Inderjeet Mani

Natural Language Processing #3

by Inderjeet Mani

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.

Paperback

First published June 1, 2001

About the author

Inderjeet Mani is a visiting scholar in the Department of Computer Science at Brandeis University, and senior principal scientist at the MITRE Corporation in Bedford, Massachusetts. He has also been a visiting fellow of the Computer Laboratory at the University of Cambridge, and an associate professor of linguistics at Georgetown University. He is the author or coeditor of several books, including The Language of Time and Automatic Summarization