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The high quality evaluation of generated summaries is needed if we are to improve automatic summarization systems. Although human evaluation provides better results than automatic evaluation methods, its cost is huge and it is difficult to reproduce the results. Therefore, we need an automatic method that simulates human evaluation if we are to improve our summarization system efficiently. Although automatic evaluation methods have been proposed, they are unreliable when used for individual summaries. To solve this problem, we propose a supervised automatic evaluation method based on a new regression model called the voted regression model (VRM). VRM has two characteristics: (1) model selection based on ‘corrected AIC’ to avoid multicollinearity, (2) voting by the selected models to alleviate the problem of overfitting. Evaluation results obtained for TSC3 and DUC2004 show that our method achieved error reductions of about 17–51% compared with conventional automatic evaluation methods. Moreover, our method obtained the highest correlation coefficients in several different experiments.  相似文献   
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In this paper, the author considers the organisation and the recontextualization of Rika (School Science) in the second half of the nineteenth century in Japan. In considering developments, the author set up analyses points based on curriculum politics and concluded that the organisation and the recontextualization of Rika occurred between the 1870s and 1880s during the Meiji era. Consequently, Rika was socially constructed, being the product of a compromise made by particular groups and persons, under the Ministry of Education. The objective of Rika in elementary schools has been characterised as being in the affective domain ‘a love of nature’ which is based on the Japanese view of nature which has differed from the West since the establishment of Rika.  相似文献   
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