Presentation | 2012-08-01 A Study on Similar Words Searching Zhenglu YANG, Masaru KITSUREGAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Measuring the semantic meaning between words is an important issue because it is the basis for many applications, such as word sense disambiguation, document summarization, and so forth. Although it has been explored for several decades, most of the studies focus on improving the effectiveness of the problem, i.e., precision and recall. In this paper, we study the efficiency issue, that given a collection of words, how to efficiently discover the most semantic similar words to the query. An extensive comparative experimental evaluation has been conducted to illustrate the effect of different strategies on the issue. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Top-k / Similar Word Search / Efficiency |
Paper # | DE2012-18 |
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Committee | DE |
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Conference Date | 2012/7/25(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Data Engineering (DE) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study on Similar Words Searching |
Sub Title (in English) | |
Keyword(1) | Top-k |
Keyword(2) | Similar Word Search |
Keyword(3) | Efficiency |
1st Author's Name | Zhenglu YANG |
1st Author's Affiliation | Institute of Industrial Science, the University of Tokyo() |
2nd Author's Name | Masaru KITSUREGAWA |
2nd Author's Affiliation | Institute of Industrial Science, the University of Tokyo |
Date | 2012-08-01 |
Paper # | DE2012-18 |
Volume (vol) | vol.112 |
Number (no) | 172 |
Page | pp.pp.- |
#Pages | 4 |
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