1999 AdvancesInAutoTextSum
- (Mani & Maybury, 1999) ⇒ Inderjeet Mani (editor), Mark T. Maybury (editor). (1999). “Advances in Automatic Text Summarization.” In: MIT Press. ISBN:0262133598
Subject Headings: Text Summarization Task, Text Summarization Algorithm
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Book Overview
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. [1999_AdvancesInAutoTextSum|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.
Table of Contents
Preface Introduction
- 1 Automatic Summarizing: Factors and Directions - K. Spärck-Jones Classical Approaches
- 2 The Automatic Creation of Literature Abstracts - H. P. Luhn
- 3 New Methods in Automatic Extracting - H. P. Edmundson
- 4 Automatic Abstracting Research at Chemical Abstracts Service - J. J. Pollock and A. Zamora
Corpus-based Approaches
- 5 A Trainable Document Summarizer - J. Kupiec, J. Pedersen, and F. Chen
- 6 Development and Evaluation of a Statistically Based Document Summarization System - S. H. Myaeng and D. Jang
- 7 A Trainable Summarizer with Knowledge Acquired from Robust NLP Techniques - C. Aone, M. E. Okurowski, J. Gorlinsky, and B. Larsen
- 8 Automated Text Summarization in SUMMARIST - Eduard Hovy and C. Lin
Exploiting Discourse Structure
- 9 Salience-based Content Characterization of Text Documents B. Boguraev and C. Kennedy
- 10 Using Lexical Chains for Text Summarization - Regina Barzilay and M. Elhadad
- 11 Discourse Trees Are Good Indicators of Importance in Text - D. Marcu
- 12 A Robust Practical Text Summarizer - T. Strzalkowski, G. Stein, J. Wang, and B. Wise
- 13 Argumentative Classification of Extracted Sentenses as a First Step Towards Flexible Abstracting - S. Teufel and M. Moens
Knowledge-rich Approaches
- 14 Plot Units: A Narrative Summarization Strategy - W. G. Lehnert
- 15 Knowledge-based text Summarization: Salience and Generalization Operators for Knowledge Base Abstraction - U. Hahn and U. Reimer
- 16 Generating Concise Natural Language Summaries - K. McKeown, J. Robin, and K. Kukich
- 17 Generating Summaries from Event Data - M. Maybury
Evaluation Methods
- 18 The Formation of Abstracts by the Selection of Sentences - G. J. Rath, A. Resnick, and T. R. Savage
- 19 Automatic Condensation of Electronic Publications by Sentence Selection - R. Brandow, K. Mitze, and L. F. Rau
- 20 The Effects and Limitations of Automated Text Condensing on Reading Comprehension Performance - A. H. Morris, G. M. Kasper, and D. A. Adams
- 21 An Evaluation of Automatic Text Summarization Systems - T. Firmin and M J. Chrzanowski
New Summarization Problem Areas
- 22 Automatic Text Structuring and Summarization - G. Salton, A. Singhal, M. Mitra, and C. Buckley
- 23 Summarizing Similarities and Differences among Related Documents - I. Mani and E. Bloedorn
- 24 Generating Summaries of Multiple News Articles - K. McKeown and D. R. Radev.
- 25 An Empirical Study of the Optimal Presentation of Multimedia Summaries of Broadcast News - A Merlino and M. Maybury
- 26 Summarization of Diagrams in Documents - R. P. Futrelle
References
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1999 AdvancesInAutoTextSum | Advances in Automatic Text Summarization | MIT Press | http://books.google.com/books?id=YtUZQaKDmzEC | 1999 |