2015 Fiscal Year Final Research Report
A study on natural language processing neural network with a large knowledge base
| Project/Area Number |
24500281
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Keio University |
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Principal Investigator |
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| Project Period (FY) |
2012-04-01 – 2016-03-31
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| Keywords | ニューラルネットワーク / 知識処理 |
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| Outline of Final Research Achievements |
We proposed a new natural language processing neural network with association layer and inhibitory layer. It has the following three features. The first one is a regularization of a sentence using a synonym dictionary and N-gram similarity. Owing to this regularization, synonym words are represented as the same neuron. Second feature is the introduction of an association layer based on the co-occurrence frequency database. Owing to this layer, the association between two words can be easily realized. Third one is the introduction of an inhibitory layer. In the application to a question-answering, these neurons can inhibit the membrane potential of neurons which does not relate to the question sentence. Experimental results indicate the effectiveness of the proposed neural network.
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| Free Research Field |
ニューラルネットワーク
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