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Interactive, Text‐Based Summarization of Multiple Documents
Author(s) -
Stein Gees C.,
Strzalkowski Tomek,
Wise G. Bowden
Publication year - 2000
Publication title -
computational intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 52
eISSN - 1467-8640
pISSN - 0824-7935
DOI - 10.1111/0824-7935.00131
Subject(s) - automatic summarization , computer science , information retrieval , multi document summarization , cluster analysis , document clustering , text graph , natural language processing , artificial intelligence
This paper describes a system for the summarization of multiple text‐only news‐like documents. We address two main issues: clustering of documents in order to find the main topics that should be mentioned in the multidocument summary and organization of the information in order to create a summary that presents the information in a logical way and is easy to read. The system is based on a single‐document summarizer that uses text‐extraction.