Co-Investigator(Kenkyū-buntansha) |
狩野 芳伸 静岡大学, 情報学部, 准教授 (20506729)
高橋 和子 関西学院大学, 工学部, 教授 (30330400)
本村 陽一 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 首席研究員 (30358171)
太田 勝造 明治大学, 法学部, 専任教授 (40152136)
西貝 小名都 東京都立大学, 法学政治学研究科, 准教授 (20580400)
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Budget Amount *help |
¥147,680,000 (Direct Cost: ¥113,600,000、Indirect Cost: ¥34,080,000)
Fiscal Year 2021: ¥30,810,000 (Direct Cost: ¥23,700,000、Indirect Cost: ¥7,110,000)
Fiscal Year 2020: ¥30,810,000 (Direct Cost: ¥23,700,000、Indirect Cost: ¥7,110,000)
Fiscal Year 2019: ¥30,810,000 (Direct Cost: ¥23,700,000、Indirect Cost: ¥7,110,000)
Fiscal Year 2018: ¥30,810,000 (Direct Cost: ¥23,700,000、Indirect Cost: ¥7,110,000)
Fiscal Year 2017: ¥24,440,000 (Direct Cost: ¥18,800,000、Indirect Cost: ¥5,640,000)
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Outline of Final Research Achievements |
We have developed a prototype system that uses the basic technology of each research group to perform higher-order reasoning and support judgment in a litigation. This system performs natural language processing on a case description in natural language to extract description of evidence related to the judgment, updates the Bayesian network using the relevant evidence facts, and calculates the probability of each legal fact. Then according to the probability of each legal fact, the system decides existence or non-existence of legal facts and apply these legal facts to rules manually encoded in the legal knowledge representation language PROLEG system to reason about judgement of the case.
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