| Budget Amount *help |
¥17,290,000 (Direct Cost: ¥13,300,000、Indirect Cost: ¥3,990,000)
Fiscal Year 2020: ¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Fiscal Year 2019: ¥6,110,000 (Direct Cost: ¥4,700,000、Indirect Cost: ¥1,410,000)
Fiscal Year 2018: ¥5,720,000 (Direct Cost: ¥4,400,000、Indirect Cost: ¥1,320,000)
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| Outline of Final Research Achievements |
We have acquired knowledge about denotation and connotation for case frames and "events" based on predicate-argument structures to achieve natural language understanding. For denotation knowledge, we mapped case frames to semantic frames of FrameNet and induced semantic frames using deep learning techniques. For connotation knowledge, we gradually acquired emotion knowledge for events. We also devised a method to use knowledge in deep learning models.
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