rent-now

Rent More, Save More! Use code: ECRENTAL

5% off 1 book, 7% off 2 books, 10% off 3+ books

9780262133593

Advances in Automatic Text Summarization

by
  • ISBN13:

    9780262133593

  • ISBN10:

    0262133598

  • Format: Hardcover
  • Copyright: 1999-07-16
  • Publisher: Mit Pr
  • Purchase Benefits
  • Free Shipping Icon Free Shipping On Orders Over $35!
    Your order must be $35 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • eCampus.com Logo Get Rewarded for Ordering Your Textbooks! Enroll Now
List Price: $12.75

Summary

With the rapid growth of the World Wide Web and electronic information services, information is becoming available on-line at an incredible rate. One result is the oft-decried information overload. No one has time to read everything, yet we often have to make critical decisions based on what we are able to assimilate. The technology of automatic text summarization is becoming indispensable for dealing with this problem. Text summarization is the process of distilling the most important information from a source to produce an abridged version for a particular user or task. Until now there has been no state-of-the-art collection of the most important writings in automatic text summarization. This book presents the key developments in the field in an integrated framework and suggests future research areas. The book is organized into six sections: Classical Approaches, Corpus-Based Approaches, Exploiting Discourse Structure, Knowledge-Rich Approaches, Evaluation Methods, and New Summarization Problem Areas. Contributors: D. A. Adams, C. Aone, R. Barzilay, E. Bloedorn, B. Boguraev, R. Brandow, C. Buckley, F. Chen, M. J. Chrzanowski, H. P. Edmundson, M. Elhadad, T. Firmin, R. P. Futrelle, J. Gorlinsky, U. Hahn, E. Hovy, D. Jang, K. Sparck Jones, G. M. Kasper, C. Kennedy, K. Kukich, J. Kupiec, B. Larsen, W. G. Lehnert, C. Lin, H. P. Luhn, I. Mani, D. Marcu, M. Maybury, K. McKeown, A. Merlino, M. Mitra, K. Mitze, M. Moens, A. H. Morris, S. H. Myaeng, M. E. Okurowski, J. Pedersen, J. J. Pollock, D. R. Radev, G. J. Rath, L. F. Rau, U. Reimer, A. Resnick, J. Robin, G. Salton, T. R. Savage, A. Singhal, G. Stein, T. Strzalkowski, S. Teufel, J. Wang, B. Wise, A. Zamora.

Table of Contents

Preface vii
Introduction ix
Automatic Summarizing: Factors and Directions
1(14)
K. Sparck Jones
Section 1: Classical Approaches
The Automatic Creation of Literature Abstracts
15(8)
H. P. Luhn
New Methods in Automatic Extracting
23(20)
H. P. Edmundson
Automatic Abstracting Research at Chemical Abstracts Service
43(12)
J. J. Pollock
A. Zamora
Section 2: Corpus-based Approaches
A Trainable Document Summarizer
55(6)
J. Kupiec
J. Pedersen
F. Chen
Development and Evaluation of a Statistically Based Document Summarization System
61(10)
S. H. Myaeng
D. Jang
A Trainable Summarizer with Knowledge Acquired from Robust NLP Techniques
71(10)
C. Aone
M. E. Okurowski
J. Gorlinsky
B. Larsen
Automated Text Summarization in SUMMARIST
81(18)
E. Hovy
C. Lin
Section 3: Exploiting Discourse Structure
Salience-based Content Characterization of Text Documents
99(12)
B. Boguraev
C. Kennedy
Using Lexical Chains for Text Summarization
111(12)
R. Barzilay
M. Elhadad
Discourse Trees Are Good Indicators of Importance in Text
123(14)
D. Marcu
A Robust Practical Text Summarizer
137(18)
T. Strzalkowski
G. Stein
J. Wang
B. Wise
Argumentative Classification of Extracted Sentences as a First Step Towards Flexible Abstracting
155(22)
S. Teufel
M. Moens
Section 4: Knowledge-rich Approaches
Plot Units: A Narrative Summarization Strategy
177(38)
W. G. Lehnert
Knowledge-based Text Summarization: Salience and Generalization Operators for Knowledge Base Abstraction
215(18)
U. Hahn
U. Reimer
Generating Concise Natural Language Summaries
233(32)
K. McKeown
J. Robin
K. Kukich
Generating Summaries from Event Data
265(22)
M. Maybury
Section 5: Evaluation Methods
The Formation of Abstracts by the Selection of Sentences
287(6)
G. J. Rath
A. Resnick
T. R. Savage
Automatic Condensation of Electronic Publications by Sentence Selection
293(12)
R. Brandow
K. Mitze
L. F. Rau
The Effects and Limitations of Automated Text Condensing on Reading Comprehension Performance
305(20)
A. H. Morris
G. M. Kasper
D. A. Adams
An Evaluation of Automatic Text Summarization Systems
325(16)
T. Firmin
M. J. Chrzanowski
Section 6: New Summarization Problem Areas
Automatic Text Structuring and Summarization
341(16)
G. Salton
A. Singhal
M. Mitra
C. Buckley
Summarizing Similarities and Differences among Related Documents
357(24)
I. Mani
E. Bloedorn
Generating Summaries of Multiple News Articles
381(10)
K. McKeown
D. R. Radev
An Empirical Study of the Optimal Presentation of Multimedia Summaries of Broadcast News
391(12)
A. Merlino
M. Maybury
Summarization of Diagrams in Documents
403(19)
R. P. Futrelle
Index 422

Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Rewards Program