论数字图书馆的服务创新

数字图书馆的服务创新是信息时代竞争生存的必然要求。在当前信息资源日益丰富、用户需求日益多样化的现实条件下,服务创新就是要转变服务观念,创新服务机制,培育服务人才,提升服务效益。     

以知识管理来指导图书馆人力资源管理

分析我国图书馆人力资源管理的现状及存在的问题，阐述知识管理的核心思想与内容，论述以知识管理来指导图书馆人力资源管理的具体措施。     

论旅游地区高校图书馆特色馆藏建设

随着中国加入WTO和旅游业的迅猛发展，地处旅游地区的高等学校应大力加强图书馆的旅游特色馆藏建设。具体措施为：全面而完整地收集旅游图书资料特别是地方献资料；搞好二次、三次献的深度开发；运用现代化管理手段开展旅游信息服务；成立专门的旅游献阅览室。     

参观韩国博物馆的启示

本介绍萦绕在作脑海，难以忘怀的韩国博物馆的种种精彩，韩国博物馆吸引观众的秘诀是展览形式新颖，影象生动，展览成功的关键是主题鲜明，线索清晰。作从中受到启示。     

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.     

图书馆联盟电子资源采购

本论述了目前电子资源采购的新模式——图书馆联盟采购，探讨了其兴起的原因，以SLCC中国集团为例分析了联盟采购的特点和所带来的效益，并谈了对组织图书馆联盟采购的几点体会。     

谈新时期大学生参与图书馆的管理

探讨了新时期大学生参与图书馆管理的形式、意义、作用及应注意的问题。     

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.