Presentation | 1998/5/13 Evaluation of Information Retrieval Method using Structured Index Atsushi MATSUMURA, Atsuhiro TAKASU, Jun ADACHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Only with keyword-based retrieval, which is the major method in document retrieval, it is difficult to improve retrieval effectiveness due to high dependence on statistical word distributs. Thus we have proposed a method to enhance retrieval effectiveness using grammatical dependency relationship between words. In our method, we first make structured index represented by binary tree through dependency analysis and compound nouns analysis based on word bigram. We have shown that our method is superior to the keyword-based retrieval through experiments on our prototype system. In this paper, we describe our methods and evaluate them through retrieval experiments on larger database covering more fields. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Information retrieval / Dependency relationship / Natural language / Structured index / Compound nouns analysis / Word bigram |
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Committee | DE |
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Conference Date | 1998/5/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Data Engineering (DE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Evaluation of Information Retrieval Method using Structured Index |
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Keyword(1) | Information retrieval |
Keyword(2) | Dependency relationship |
Keyword(3) | Natural language |
Keyword(4) | Structured index |
Keyword(5) | Compound nouns analysis |
Keyword(6) | Word bigram |
1st Author's Name | Atsushi MATSUMURA |
1st Author's Affiliation | NACSIS(National Center for Science Information Systems)() |
2nd Author's Name | Atsuhiro TAKASU |
2nd Author's Affiliation | NACSIS(National Center for Science Information Systems) |
3rd Author's Name | Jun ADACHI |
3rd Author's Affiliation | NACSIS(National Center for Science Information Systems) |
Date | 1998/5/13 |
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Volume (vol) | vol.98 |
Number (no) | 42 |
Page | pp.pp.- |
#Pages | 8 |
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