Presentation | 2007-03-16 A Knowledge Processing Neural Network based on Automatic Concept Hierarchization Masahiro SAITO, Masafumi HAGIWARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this report, we propose a knowledge processing neural network which is capable of posteriori and deductively reasoning. The proposed system looks up relations between words in a concept dictionary and co-occurrence dictionary. First, the proposed system divides sentences into the subject words and the other words. Then induces these words are input into two-layer network. Second, the system makes hierarchical structure by using concept dictionary. Third, the system induces general knowledge from individual knowledge. We added a function to respond to questions in natural language with "Yes/No" in order to confirm the validity of proposed system by evaluating the quantity of correct answers. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Neural Network / Natural Language Processing / Automatic Learning / Posteriori Reasoning |
Paper # | NC2006-211 |
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Committee | NC |
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Conference Date | 2007/3/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Knowledge Processing Neural Network based on Automatic Concept Hierarchization |
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Keyword(1) | Neural Network |
Keyword(2) | Natural Language Processing |
Keyword(3) | Automatic Learning |
Keyword(4) | Posteriori Reasoning |
1st Author's Name | Masahiro SAITO |
1st Author's Affiliation | Faculty of Science and Technology, Keio University() |
2nd Author's Name | Masafumi HAGIWARA |
2nd Author's Affiliation | Faculty of Science and Technology, Keio University |
Date | 2007-03-16 |
Paper # | NC2006-211 |
Volume (vol) | vol.106 |
Number (no) | 590 |
Page | pp.pp.- |
#Pages | 6 |
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