Presentation 2005/7/15
Extraction and Visualization of Trend Information Based on the Cross-document Structure
Hidetsugu NANBA, Yoshinobu KUNIMASA, Shiho FUKUSHIMA, Teruaki AIZAWA, Manabu OKUMURA,
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Abstract(in English) Trend information is defined as information obtained by synthesis and organization of temporal information such as cabinet approval ratings and stock movements. In this paper, we describe a method for visualizing trend information extracted from multiple documents. We focus on cross-document structure theory (CST) which Radev et al. proposed. The theory expands the notion of Rhetorical Structure Theory (RST) to the relationships between sentences in the different documents. We implement this theory partially, use it to extract trend information, and visualize it as a graph.
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Keyword(in English) Trend Information / Visualization / Cross-document Structure Theory / Automatic Summarization
Paper # NLC2005-11
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Committee NLC
Conference Date 2005/7/15(1days)
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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) Extraction and Visualization of Trend Information Based on the Cross-document Structure
Sub Title (in English)
Keyword(1) Trend Information
Keyword(2) Visualization
Keyword(3) Cross-document Structure Theory
Keyword(4) Automatic Summarization
1st Author's Name Hidetsugu NANBA
1st Author's Affiliation Hiroshima City University()
2nd Author's Name Yoshinobu KUNIMASA
2nd Author's Affiliation Chugoku Sunnnet Corporation
3rd Author's Name Shiho FUKUSHIMA
3rd Author's Affiliation Mighty Net
4th Author's Name Teruaki AIZAWA
4th Author's Affiliation Hiroshima City University
5th Author's Name Manabu OKUMURA
5th Author's Affiliation Tokyo Institute of Technology
Date 2005/7/15
Paper # NLC2005-11
Volume (vol) vol.105
Number (no) 203
Page pp.pp.-
#Pages 8
Date of Issue