| Budget Amount *help |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Outline of Final Research Achievements |
This research project aimed to resolve the cross lingual textual entailment recognition. First of all, this research proposed the method to build the large cross lingual textual entailment corpus using a parallel corpus which was designed for machine translation. The experimental construction of the corpus of English-Japanese sentence pairs using wikipedia English-Japanese parallel corpora showed that the proposed method to build the textual entailment corpus was effective to collect a large number of positive examples, but it was weak to collect negative examples. Especially, it was difficult to collect negative examples which contains logical contradictions. And more, the experimental result showed that the simple crows saucing method to collect negative examples cannot avoid the hidden bias.
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