Construction of Automatic Utterance Model based on Non-linearity of Natural Language for Realizing Natural Conversation between Humans and Computers
Project/Area Number |
23720222
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Linguistics
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Research Institution | Kagawa National College of Technology (2012) Nagano National College of Technology (2011) |
Principal Investigator |
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Project Period (FY) |
2012 – 2013
|
Project Status |
Completed (Fiscal Year 2013)
|
Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2011: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
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Keywords | 話題選定 / 連想システム / 概念ベース / 関連度計算 / シソーラス |
Research Abstract |
In this research, we constructed a automatically utterance model based on the non-linearity of lingua. Especially, we proposed the selection method of topics and the association system that provided the basis of topics selection. We enabled the topic selection with about 90% accuracy using Twitter’s log data and the hierarchy knowledge base using Wikipedia about topics selection. We estimated the automatically construction method of Concept-base.
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Report
(3 results)
Research Products
(33 results)