Indicative Summarization
Indicative Summarization is a type of text summarization that belongs to the class of summarization methods designed to convey the scope, purpose, and structure of a source document without reproducing its content verbatim, thereby distinguishing itself from informative or extractive approaches by focusing on conceptual representation rather than detailed subject matter.
22
Publications
890
Citations
38
Authors
25
Institutions
Publications per year
2017–2026
4
22
Automatic summarising: factors and directions
Karen Spärck Jones · arXiv (Cornell University) · 1998 · 103 citations · Full text
James E. Rush, Rodolfo C. Salvador, Antonio Zamora · Journal of the American Society for Information Science · 1971 · 86 citations
Automatic Multi Document Summarization Approaches
Kumar · Journal of Computer Science · 2011 · 58 citations · Full text
1–5 of 22
38
5
h-index
4
h-index
4
h-index
4
h-index
3
h-index
1–5 of 38
25
Université de Montréal
Montreal, Canada
4 h-index
7 publications
304 citations
Columbia University
New York, United States
3 h-index
7 publications
374 citations
Université du Québec à Montréal
Montreal, Canada
2 h-index
3 publications
240 citations
National Taiwan Normal University
Taipei, Taiwan
2 h-index
3 publications
81 citations
Universitas Budi Luhur
Jakarta, Indonesia
1 h-index
1 publications
37 citations

Technical University of Malaysia Malacca
Malacca, Malaysia
1 h-index
1 publications
58 citations
University of Illinois Chicago
Chicago, United States
1 h-index
1 publications
27 citations

Macquarie University
Sydney, Australia
1 h-index
3 publications
48 citations
1–8 of 25
1 publications · 140 citations
1
h-index
Repository · 1 publications · 103 citations
1
h-index
JASIS · 1 publications · 86 citations
1
h-index
1 publications · 58 citations
1
h-index
1 publications · 58 citations
1
h-index
1–5