使用家谱资料应注意的几个问题(下)

文章结合一些具体事例说明要科学地使用家谱资料，不要假借家谱来证实某些子虚乌有的史实，不要盲目相信家谱上关于家族世系源流的叙述，不要借家谱上的只言片语进行穿凿附会。     

构建中国大型古籍书库——论四库类丛书的互补性

文章从内容、时间、版本和学术性诸方面阐述了《四库全书》、《续修四库全书》、《四库全书存目丛书》、《四库禁毁书丛刊》、《四库未收书辑刊》相互之间的互补性。     

网络书目的文化解读

网络书目是网络文化活动的重要一环。受数字化和网络化影响，目录学进入到新的文化背景之下，网络书目的文化内涵也随之发生演化，书目的文化功能也得到进一步扩展。     

构建中国大型古籍为库--论四库类丛书的互补性

文章从内容、时间、版本和学术性诸方面阐述了<四库全书>、<续修四库全书>、<四库全书存目丛书>、<四库禁毁书丛刊>、<四库未收书辑刊>相互之间的互补性.     

Books are silent ambassadors: The Noma award for the translation of Japanese literature

Summary Now more than ever good translations are proving to be vitally important to fulfilling Shoichi Noma’s mission of advancing good relationships between cultures. With the emergence of dozens of world-class Japanese writers, the translators of Japanese literature have acquired a new significance and a new importance. No longer are they required to simply handle the language like an exotic and precious commodity but they must prepare a writer’s work to compete with literature from around the globe and let others understand the issues at their very heart of the Japanese people. Indeed, the selection committee’s choice of Murakami’s Wind-Up Bird Chronicle is an apt example of how literature at its very best can span cultural divides to promote mutual understanding of very complicated and important world issues. Written for Japanese to help them understand the devastation of war, it is a rare and timely book that confronts Japan’s experience head on. Ironically, Noma’s idea that books are silent ambassadors, an idea born from agony and defeat, so many years later is helping the world come together towards a unified vision of peace and understanding. “Literature has been described as a means of exchange between the hearts of people. Literary translation, then, is the building of bridges so that all peoples of the world can interact in this way.” Ye Weiqu, Chinese Institute of Social Studies.     

基于向量空间模型的主动推送系统设计与优化

主动信息服务是信息检索的发展方向之一，传统向量空间模型用于设计主动推送系统具有一定的优点，但仍不能克服检索结果不相关的问题。本文提出了一系列优化措施，设计了一个基于向量空间模型的主动推送系统原型，更好的满足网上信息检索效率的提高。     

Analysis of Statistical Question Classification for Fact-Based Questions

Question classification systems play an important role in question answering systems and can be used in a wide range of other domains. The goal of question classification is to accurately assign labels to questions based on expected answer type. Most approaches in the past have relied on matching questions against hand-crafted rules. However, rules require laborious effort to create and often suffer from being too specific. Statistical question classification methods overcome these issues by employing machine learning techniques. We empirically show that a statistical approach is robust and achieves good performance on three diverse data sets with little or no hand tuning. Furthermore, we examine the role different syntactic and semantic features have on performance. We find that semantic features tend to increase performance more than purely syntactic features. Finally, we analyze common causes of misclassification error and provide insight into ways they may be overcome.     

斯坦福大学创业教育实施的特点与启示

斯坦福大学是创新创业教育全球最好的范本之一。斯坦福创业教育成功实施的原因有先进的创业教育理念、强大的师资力量、课程体系、支持网络以及运用外部环境。其创业教育整体特点在于创业教育理念上以创新为基础,培养世界眼光和具有社会责任心的创业者;创业教育的开展方式上,采取有效的合作策略与国际化策略,将理论研究、学习与实践融为一体;创业教育的结果上不仅关注经济成就,还有社会价值的实现。