Research of Semantic Category Prediction of Extremely Rare Words and It's Application
Project/Area Number |
22500126
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Intelligent informatics
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Research Institution | Kanazawa University |
Principal Investigator |
SATOU Kenji 金沢大学, 電子情報学系, 教授 (10215783)
|
Project Period (FY) |
2010 – 2012
|
Project Status |
Completed (Fiscal Year 2012)
|
Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2010: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
|
Keywords | 人工知能 / 自然言語処理 / 画像 / 文章 / 音声等認識 / 画像、文章、音声等認識 |
Research Abstract |
Since an extremely rare word or a newly coined word is not in any dictionary and occurs only in a few sentences, it is difficult to computationally infer the semantic category of such a word. However, in humans’ daily communication, such an inference is naturally done from only a few sentences. In this study, it is shown that by using various information about sentence structure and modifier-modificand relationships, a semantic category of an extremely rare word could be inferred computationally.
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Report
(4 results)
Research Products
(8 results)
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[Journal Article] IMPACT: A Novel Clustering Algorithm based on Attraction2012
Author(s)
Tran,V.A., Clemente,J.C., Nguyen,D.T., Li,J., Dang,X.T., Le,T.T.K., Nguyen,T.L.A., Saethang,T., Kubo,M., Yamada,Y., Satou,K
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Journal Title
Journal of Computers
Volume: Vol.7, No.3
Issue: 3
Pages: 653-665
DOI
Related Report
Peer Reviewed
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