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An English neural network that learns texts, finds hidden knowledge, and answers questions

Ke Y., Hagiwara M.

Journal of Artificial Intelligence and Soft Computing Research

2017

Vol. 7, No. 4

229--242

In this paper, a novel neural network is proposed, which can automatically learn and recall contents from texts, and answer questions about the contents in either a large corpus or a short piece of text. The proposed neural network combines parse trees, semantic networks, and inference models. It contains layers corresponding to sentences, clauses, phrases, words and synonym sets. The neurons in the phrase-layer and the word-layer are labeled with their part-of-speeches and their semantic roles. The proposed neural network is automatically organized to represent the contents in a given text. Its carefully designed structure and algorithms make it able to take advantage of the labels and neurons of synonym sets to build the relationship between the sentences about similar things. The experiments show that the proposed neural network with the labels and the synonym sets has the better performance than the others that do not have the labels or the synonym sets while the other parts and the algorithms are the same. The proposed neural network also shows its ability to tolerate noise, to answer factoid questions, and to solve single-choice questions in an exercise book for non-native English learners in the experiments.

Impact of Hexaamidocyclotriphosphazene on the Flame Retardancy of Paper

Tang L., Bi W., Ke Y., Song H., He W., Liu Y.

Fibres & Textiles in Eastern Europe

2016

Vol. 24, no. 4 (118)

148--152

In this paper, the flame retardancy of hexaamidocyclotriphosphazene (HACTP) in paper was studied by limiting oxygen index measurement, the vertical burning test and cone calorimetry test. Meanwhile the mechanism was discussed by the analysis of residues obtained in the cone calorimeter test. The experimental results revealed that HACTP had excellent flame retardancy in paper.

Badano zmniejszenie palności papieru stosując hexaamidocyklotrifosfazen (HACTP) poprzez indeks tlenowy, test pionowego palenia, i test kalorymetru stożkowego. Badano również mechanizm ograniczenia palności poprzez analizę resztek uzyskanych z testu kalorymetru stożkowego. Eksperymenty wykazały, że HACTP ma wybitny wpływ na zmniejszenie palności papieru.