Improving robust domain independent summarization

Authors:
Jim Cowie;Eugene Ludovik;Hugo Molina-Salgado
Affiliations:
NMSU, Las Cruces, NM;NMSU, Las Cruces, NM;NMSU, Las Cruces, NM
Venue:
TIPSTER '98 Proceedings of a workshop on held at Baltimore, Maryland: October 13-15, 1998
Year:
1998

Citing 5
Cited 0

Constructing literature abstracts by computer: techniques and prospects

Information Processing and Management: an International Journal - Special issue on natural language processing and information retrieval
The identification of important concepts in highly structured technical papers

SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Highlights: language- and domain-independent automatic indexing terms for abstracting

Journal of the American Society for Information Science
Automatic Text Theme Generation and the Analysis of Text Structure

Automatic Text Theme Generation and the Analysis of Text Structure
Automatic Text Decomposition Using Text Segments and Text Themes

Automatic Text Decomposition Using Text Segments and Text Themes

Quantified Score

Hi-index	0.00

Visualization

Abstract

We discuss those techniques which, in the opinion of the authors, are needed to support robust automatic summarization. Many of these methods are already incorporated in a multi-lingual summarization system, MINDS, developed at CRL. The approach is sentence selection, but includes techniques to improve coherence and also to perform sentence reduction. Our methods are in distinct contrast to those approaches to summarization by deep analysis of a document followed by text generation.