Presentation | 2001/3/16 Information Retrieval System Using Concept Vectors Based on PDDP Minoru Sasaki, Kenji Kita, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Text documents are often represented as high-dimensional and sparse vectors using words as features in a multidimensional space. These vectors require a large number of computer resources and it is difficult to capture underlying concepts referred to by the terms. In this paper, we propose to use the technique of dimensionality reduction using Concept Vectors Based on PDDP as a way of solving these problems in the vector space information retrieval model. we give experimental results of the dimensionality reduction by using this method and show that this method is an improvement over conventional vector space model. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Information retrieval / Vector space model / Random projection / Latent semantic indexing / Concept vector / PDDP |
Paper # | TL2000-42,NLC2000-77 |
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Committee | NLC |
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Conference Date | 2001/3/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Information Retrieval System Using Concept Vectors Based on PDDP |
Sub Title (in English) | |
Keyword(1) | Information retrieval |
Keyword(2) | Vector space model |
Keyword(3) | Random projection |
Keyword(4) | Latent semantic indexing |
Keyword(5) | Concept vector |
Keyword(6) | PDDP |
1st Author's Name | Minoru Sasaki |
1st Author's Affiliation | Faculty of Engineering, Tokushima University() |
2nd Author's Name | Kenji Kita |
2nd Author's Affiliation | Faculty of Engineering, Tokushima University |
Date | 2001/3/16 |
Paper # | TL2000-42,NLC2000-77 |
Volume (vol) | vol.100 |
Number (no) | 700 |
Page | pp.pp.- |
#Pages | 8 |
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