TY - GEN
T1 - Natural language processing neural network for recall and inference
AU - Sagara, Tsukasa
AU - Hagiwara, Masafumi
PY - 2010/11/8
Y1 - 2010/11/8
N2 - In this paper, we propose a novel neural network which can learn knowledge from natural language documents and can perform recall and inference. The proposed network has a sentence layer, a knowledge layer, ten kinds of deep case layers and a dictionary layer. In the network learning step, connections are updated based on Hebb's learning rule. The proposed network can handle a complicated sentence by incorporating the deep case layers and get unlearned knowledge from the dictionary layer. In the dictionary layer, Goi-Taikei, containing 400,000 words dictionary, is employed. Two kinds of experiments were carried out by using goo encyclopedia and Wikipedia as knowledge sources. Superior performance of the proposed neural network has been confirmed.
AB - In this paper, we propose a novel neural network which can learn knowledge from natural language documents and can perform recall and inference. The proposed network has a sentence layer, a knowledge layer, ten kinds of deep case layers and a dictionary layer. In the network learning step, connections are updated based on Hebb's learning rule. The proposed network can handle a complicated sentence by incorporating the deep case layers and get unlearned knowledge from the dictionary layer. In the dictionary layer, Goi-Taikei, containing 400,000 words dictionary, is employed. Two kinds of experiments were carried out by using goo encyclopedia and Wikipedia as knowledge sources. Superior performance of the proposed neural network has been confirmed.
UR - http://www.scopus.com/inward/record.url?scp=78049364056&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78049364056&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-15825-4_35
DO - 10.1007/978-3-642-15825-4_35
M3 - Conference contribution
AN - SCOPUS:78049364056
SN - 3642158242
SN - 9783642158247
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 286
EP - 289
BT - Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings
T2 - 20th International Conference on Artificial Neural Networks, ICANN 2010
Y2 - 15 September 2010 through 18 September 2010
ER -