Automatic Generation of Survey Articles Based on Update Summarization and Text Revision Techniques
| Project/Area Number |
25330263
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Hiroshima City University |
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Principal Investigator |
NANBA HIDETSUGU 広島市立大学, 情報科学研究科, 准教授 (50345378)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | テキスト要約 / 学術論文 / サーベイ論文 / SNS / 引用データベース / 引用分析 |
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| Outline of Final Research Achievements |
We propose a method of generating a survey article. Our method consists of the three steps: (1) detecting survey articles in a research paper database, (2) retrieving research papers that should be contained in the survey articles, which were detected in Step (1), and (3) updating the survey articles based on the research papers retrieved in Step (2). We conducted several experiments using a citation index "CiteSeer", and confirmed the effectiveness of our method.
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Report
(4 results)
Research Products
(6 results)
