Interactive, Text‐Based Summarization of Multiple Documents | Zendy

Stein Gees C. | Zendy; Strzalkowski Tomek | Zendy; Wise G. Bowden | Zendy

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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.

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