Development of methods for extractive and abstractive text summarization based on machine learning with large-scale data
| Project/Area Number |
26280080
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
Takamura Hiroya 東京工業大学, 科学技術創成研究院, 准教授 (80361773)
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| Co-Investigator(Kenkyū-buntansha) |
笹野 遼平 東京工業大学, 精密工学研究所, 助教 (70603918)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥16,250,000 (Direct Cost: ¥12,500,000、Indirect Cost: ¥3,750,000)
Fiscal Year 2016: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Fiscal Year 2015: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2014: ¥8,450,000 (Direct Cost: ¥6,500,000、Indirect Cost: ¥1,950,000)
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| Keywords | 文書要約 / 機械学習 / 大規模データ / ニューラルネットワーク / 自然言語処理 |
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| Outline of Final Research Achievements |
We developed a method for automatically creating a large-scale training dataset for text summarization as well as a technique to make use of the dataset. We also developed a method for incorporating sentence division, sentence merge, and sentence compression as components for single-document text summarization. We also developed a method for generating personalized snippets. We also developed a method for creating inning summaries for baseball matches. In the field of neural network-based summarization, we developed a method for controlling the output length for sequence-to-sequence summarization model, and a method for automatically creating a large-scale dataset for Japanese sentence compression.
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Report
(4 results)
Research Products
(15 results)
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[Presentation] Learning from Numerous Untailored Summaries2016
Author(s)
Yuta Kikuchi, Akihiko Watanabe, Ryohei Sasano, Hiroya Takamura and Manabu Okumura
Organizer
The 14th Pacific Rim International Conferences on Artificial Intelligence (PRICAI 2016)
Place of Presentation
Phuket, Thailand
Related Report
Int'l Joint Research
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