Presentation 1999/7/22
An Algorithm for Text Summarization base on Thematic Hierarchy Detection : How to Generate a One-page Summary of a Long Text
Yoshio Nakao,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper presents an algorithm for text summarization using thematic hierarchy of a text. Its main purpose is to generate a one-page summary of a long text of several tens pages, which helps the user to skim an electronic book on a computer display. It is required for the one-page summarization that topics of appropriate grading be extracted, and that the selected topics be expressed as short as possible. The algorithm selects thematic textual units of appropriate size from the thematic hierarchy of a text. Then it extracts sentences from every leading part of these units, and outputs a summary with thematic boundaries that separate groups of sentences by their related topics so that the user can quickly understand outline of the summary.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Text Summarization / Thematic Hierarchy / Lexical Cohesion / Text Structuring / Text Decomposition
Paper # NLC99-12
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Committee NLC
Conference Date 1999/7/22(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Algorithm for Text Summarization base on Thematic Hierarchy Detection : How to Generate a One-page Summary of a Long Text
Sub Title (in English)
Keyword(1) Text Summarization
Keyword(2) Thematic Hierarchy
Keyword(3) Lexical Cohesion
Keyword(4) Text Structuring
Keyword(5) Text Decomposition
1st Author's Name Yoshio Nakao
1st Author's Affiliation Fujitsu Laboratories Ltd.()
Date 1999/7/22
Paper # NLC99-12
Volume (vol) vol.99
Number (no) 227
Page pp.pp.-
#Pages 8
Date of Issue