TY  - BOOK
AU  - Editors Mani,Inderjeet
AU  - Maybury,Mark T.
TI  - Advances in automatic text summarization
SN  - 0262133598 (hc : alk. paper)
AV  - P98.5.A87 ADV 1999
U1  - 025.4/0285 21
PY  - 1999///
CY  - Cambridge, Mass.
PB  - MIT Press
KW  - Automatic abstracting
KW  - Computational linguistics
N1  - Includes bibliographical references and index; 1; Automatic Summarizing: Factors and Directions; K. Sparck Jones --; 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 --; 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 and J. Gorlinsky; [et al.] --; 8; Automated Text Summarization in SUMMARIST; E. Hovy and C. Lin --; 9; Salience-based Content Characterization of Text Documents; B. Boguraev and C. Kennedy --; 10; Using Lexical Chains for Text Summarization; R. 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 and J. Wang; [et al.] --; 13; Argumentative Classification of Extracted Sentences as a First Step Towards Flexible Abstracting; S. Teufel and M. Moens --; 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 --; 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 --; 22; Automatic Text Structuring and Summarization; G. Salton, A. Singhal and M. Mitra; [et al.] --; 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
N2  - "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."--BOOK JACKET
ER  -