Presentation 2007/3/9
Complex Weighted Semantic Network and Its application to text wummurization
Yusuke SATO, Satoshi MATSUDA,
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Abstract(in English) As for the Semantic Network proposed by Quillian in 1968, the various forms which should be done were proposed. However, each model can be expressed with arc that it is expressed only one relation. The number of arc increases in the network model which has many relations. And, Though many meaning network models were proposed, a general network model hasn't been proposed very much. Thus, we proposed the new network model which was used the weight given to arc of the semantic network with main subject. This weight is a complex number. Accordingly not only arc can show strength related to the meaning to express it but also we can evaluate the transition cause from the transition point. It aims at the acquisition of the general knowledge by getting this complex weight from the text-data chosen at random. And we do the text summary which used a semantic network with the weight to verify the validity of the network model.
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Paper # AI2006-58
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Committee AI
Conference Date 2007/3/9(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
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Title (in English) Complex Weighted Semantic Network and Its application to text wummurization
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1st Author's Name Yusuke SATO
1st Author's Affiliation Graduate Department of Mathematical Engineering, Postgraduate of Industrial Technology Nihon University()
2nd Author's Name Satoshi MATSUDA
2nd Author's Affiliation Department of Mathematical information Engineering, College of Industrial Technology Nihon University
Date 2007/3/9
Paper # AI2006-58
Volume (vol) vol.106
Number (no) 587
Page pp.pp.-
#Pages 8
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