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—Though there are some works on improving distributed word representations using lexicons, the improper over-fitting of the words that have multiple meanings is a remaining issue deteriorating the learning when lexicons are used, which needs to be solved. An alternative method is to allocate a vector per sense instead a vector per word. However, the word(More)
In this paper, a natural language neural network model based on the analysis of the structure of sentences is proposed. The proposed neural network consists of 5 layers: sentence-layer, clause-layer, phrase-layer, word-layer, and concept-layer. The input text is split into different levels as sentences, clauses, phrases and words. Then neurons are allocated(More)
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