| Project/Area Number |
16K16109
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Intelligent informatics
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| Research Institution | The University of Tokyo |
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Principal Investigator |
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| Project Period (FY) |
2016-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
|
| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Keywords | 自然言語処理 / ソーシャル・ビッグデータ / 知識獲得 / ソーシャルビッグデータ / 適応的言語解析 |
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| Outline of Final Research Achievements |
Experiences and opinions submitted by people in real time through mobile devices form so-called social big data, and their usefulness attracts attention. Although the information on emerging things (entities) is especially worth analyzing, it is difficult to analyze such text with new information by using existing natural language processing technology based on static machine learning with past text.
This study has therefore developed a method of acquiring various emerging entities from a text stream using distant supervision with Wikipedia. To utilize the acquired knowledge, we have also studied a method of acquiring values from microblogs, a machine translation system, and a dialogue system.
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