Presentation | 2005/3/21 A Language Processing Neural Network with Inference Ability Keitaro KATAOKA, Masafumi HAGIWARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a language processing neural network with inference ability. At first input sentences are decomposed to triples representation by morphological analysis and syntax analysis. The network consists of a memory part and a control layer. The memory part consists of three layers. The memory part memorizes both triples representations and sentences. The control layer memorizes the result of inference and controls inference. From the computer simulation, the followings have been confirmed : 1) The network can memorize several sentences ; 2) The network can learn the difference between subject and object ; 3) The network can carry out some kinds of inferences. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | neural network / area representation / triples-representation / memory / natural language |
Paper # | NC2004-168 |
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Committee | NC |
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Conference Date | 2005/3/21(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 Language Processing Neural Network with Inference Ability |
Sub Title (in English) | |
Keyword(1) | neural network |
Keyword(2) | area representation |
Keyword(3) | triples-representation |
Keyword(4) | memory |
Keyword(5) | natural language |
1st Author's Name | Keitaro KATAOKA |
1st Author's Affiliation | Department of Information and Computer Science, Faculty of Science and Technology, Keio University() |
2nd Author's Name | Masafumi HAGIWARA |
2nd Author's Affiliation | Department of Information and Computer Science, Faculty of Science and Technology, Keio University |
Date | 2005/3/21 |
Paper # | NC2004-168 |
Volume (vol) | vol.104 |
Number (no) | 758 |
Page | pp.pp.- |
#Pages | 6 |
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