图书馆员职业道德解读

围绕当前图书馆实践，从5个方面对《中国图书馆员职业道德准则(试行)》作初步诠释。     

网上外文科技期刊最新论文题录保障系统的研制

介绍网上外文科技期刊最新论文题录保障系统的研制目标、总体结构及主要功能,着重阐述系统自动下载和自动标 引的实现方法。     

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.     

基于可持续发展观的协同模型--论图书情报事业发展

图书情报与国民经济的协同发展是对可持续发展观的具体实现，本文提出进入与实施双层协同模型，并具体阐述了要素、领域、对象、进入方式、频率、模式、力度等构建过程。为图书情报事业发展提供参考。     

跨越数字鸿沟,维护读者权利,实现信息公平--湖南大学图书馆2005年"优质服务宣传"活动拉开帷幕

文章介绍了湖南大学图书馆2005年“优质服务宣传”活动开幕式的情况,记录了与会的专家学者关于“数字鸿沟”的精辟论点。     

开拓高校图书馆"发现与发展知识"功能探讨

从图书馆的生存、发展和本身的义务、职责及读者的需求几个方面，探讨了开拓高校图书馆“发现与发展知识”功能的必要性、遵循的原则和应采取的措施。     

大众传媒的社会责任与未成年人的良性互动

在媒介社会化和社会媒介化时代，人类在享受媒介带来的社会进步、便利和好处的时候．也要承受它们所带来的种种麻烦．当然也必须解决和消化它们带来的种种问题。     

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.