JOURNAL ARTICLE

Weighted hierarchical archetypal analysis for multi-document summarization

Ercan CanhasiIgor Kononenko

Year: 2015 Journal:   Computer Speech & Language Vol: 37 Pages: 24-46   Publisher: Elsevier BV
Keywords:
Automatic summarization Computer science Multi-document summarization Set (abstract data type) Information retrieval Sentence Task (project management) Selection (genetic algorithm) Natural language processing Artificial intelligence Data mining

Metrics

20
Cited By
2.83
FWCI (Field Weighted Citation Impact)
66
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Text Analysis Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

Related Documents

JOURNAL ARTICLE

Weighted archetypal analysis of the multi-element graph for query-focused multi-document summarization

Ercan CanhasiIgor Kononenko

Journal:   Expert Systems with Applications Year: 2013 Vol: 41 (2)Pages: 535-543
BOOK-CHAPTER

Automatic Extractive Multi-document Summarization Based on Archetypal Analysis

Ercan CanhasiIgor Kononenko

Signals and communication technology Year: 2015 Pages: 75-88
JOURNAL ARTICLE

Weighted consensus multi-document summarization

Dingding WangTao Li

Journal:   Information Processing & Management Year: 2011 Vol: 48 (3)Pages: 513-523
© 2026 ScienceGate Book Chapters — All rights reserved.