| Budget Amount *help |
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2012: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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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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