Presentation 1998/10/16
A Knowledge Discovery System for Parse Trees
Mayumi OYAMA, Takashi OKADA, Guifeng Li,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) A knowledge discovery software : SYKD has been developed to analyze sentences based on their syntactic structures. Some node in a parse tree is specified as viewpoint, and the features on its surrounding nodes allow us to extract knowledge about the characteristic usage of the word at the viewpoint. Since this software handles the syntactic structure directly, we can expect results, which cannot be attained by other conventional methods of data analysis. Some results are reported on the analysis of Japanese particles in EDR corpus.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Knowledge discovery / Parse tree / ID3 / Data analysis / SYKD
Paper # NLC98-29
Date of Issue

Conference Information
Committee NLC
Conference Date 1998/10/16(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

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) A Knowledge Discovery System for Parse Trees
Sub Title (in English)
Keyword(1) Knowledge discovery
Keyword(2) Parse tree
Keyword(3) ID3
Keyword(4) Data analysis
Keyword(5) SYKD
1st Author's Name Mayumi OYAMA
1st Author's Affiliation Information Processing Research Center, Kwansei Gakuin University()
2nd Author's Name Takashi OKADA
2nd Author's Affiliation Information Processing Research Center, Kwansei Gakuin University
3rd Author's Name Guifeng Li
3rd Author's Affiliation Information Processing Research Center, Kwansei Gakuin University
Date 1998/10/16
Paper # NLC98-29
Volume (vol) vol.98
Number (no) 338
Page pp.pp.-
#Pages 8
Date of Issue