Adaptive Natural Language Processing for Analyzing Social Big Data
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 |
Research Field |
Intelligent informatics
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Research Institution | The University of Tokyo |
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)
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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 |
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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Report
(3 results)
Research Products
(29 results)
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[Journal Article] Modeling Situations in Neural Chat Bots2017
Author(s)
Shoetsu Sato, Naoki Yoshinaga, Masashi Toyoda and Masaru Kitsuregawa
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Journal Title
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics - Student Research Workshop
Volume: -
Pages: 120-127
DOI
Related Report
Peer Reviewed / Open Access
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[Journal Article] rdering Concepts Based on Common Attribute Intensity2016
Author(s)
Tatsuya Iwanari, Naoki Yoshinaga, Nobuhiro Kaji, Toshiharu Nishina, Masashi Toyoda, Masaru Kitsuregawa
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Journal Title
Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16)
Volume: -
Pages: 3747-3753
Related Report
Peer Reviewed / Acknowledgement Compliant
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[Presentation] Modeling Situations in Neural Chat Bots2017
Author(s)
Shoetsu Sato, Naoki Yoshinaga, Masashi Toyoda and Masaru Kitsuregawa
Organizer
The 55th Annual Meeting of the Association for Computational Linguistics - Student Research Workshop (ACL-SRW 2017)
Related Report
Int'l Joint Research
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[Presentation] Ordering Concepts Based on Common Attribute Intensity2016
Author(s)
Tatsuya Iwanari, Naoki Yoshinaga, Nobuhiro Kaji, Toshiharu Nishina, Masashi Toyoda, Masaru Kitsuregawa
Organizer
Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16)
Place of Presentation
ニューヨーク,アメリカ
Year and Date
2016-07-09
Related Report
Int'l Joint Research
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[Presentation] UT Dialogue System at NTCIR-12 STC2016
Author(s)
Shoetsu Sato, Shonosuke Ishiwatari, Naoki Yoshinaga, Masashi Toyoda and Masaru Kitsuregawa
Organizer
NTCIR-12 Conference on Evaluation of Information Access Technologies (NTCIR-12), STC: Short Text Conversation
Place of Presentation
学術国際センター,東京都
Year and Date
2016-06-07
Related Report
Int'l Joint Research
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