| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Outline of Final Research Achievements |
Rule-based techniques using items "comparison", "problem", "purpose" and "example" in article data could detect the absence of description with an F measure of 0.6 to 0.8. The technology was generalized. We made the technology to discover the presence or absence of the description of the important matters by using the frequent occurrence items in the documents similar to the documents to be modified as the important matters. Based on word level information extraction, we could detect absence of the description at F measure (performance) of about 0.8. We built a technology to obtain information related to the missing part from the web and present it to the user. We could build a technology to extract information based on sentences. In the newspaper and product information documents, we were able to carry out an experiment to find absence of the description at the sentence level. We found absence of the description in the F measure of about 0.5 to 0.8.
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