论新闻报道中的公众人物原则

公众人物原则可以有效平衡公众知情权与公众人物个人隐私权的冲突。其基本价值在于为新闻报道提供一个标准，使对公众人物的报道在满足公众知情权的同时保障公众人物必要的隐私权。在新闻实践中正确运用公众人物原则需要正确把握保护公众人物隐私的度，对不同的公众人物应区别对待。     

数字化对情报行业和研究工作的影响

本文主要讨论了数字化对我国情报行业、情报研究工作整体流程和情报工作方法的影响.伴随着全球化和我国的改革开放,数字化与信息技术对情报行业产生了变革性影响,使情报行业的行业环境、行业结构、产业链都发生了变化.与此同时,数字化也使情报研究工作的素材、对象一样发生了变化;新型的研究组织方式产生,情报研究的视角得以拓展,从而推动着情报研究工作范式进行转换.因而,数字化和网络化环境下,出现了许多新型的工具和方法,使得情报工作得以实现实时、协同、融合和可视化.     

吴晓铃藏《忠烈侠义传》抄本考述

吴晓铃所藏《忠烈侠义传》抄本系坊贾作伪产物,其卷首序言、目录与《忠烈侠义传》相同,其后所署“道光二十八年春三月石玉昆”则为坊贾伪造。该抄本正文内容为《龙图耳录》,其内容文字与北京师范大学图书馆所藏光绪七年抄本较为一致,其与《忠烈侠义传》关系较谢蓝斋抄本更近。     

组织实施知识管理的动态阶段模型

本文从知识的动态转化出发,结合组织中知识以及知识存在的客体,提出了组织在实施知识管理中所应采取的动态阶段模型。     

特色数据库建设中信息发布的研究与实践

本文着重阐述了特色数据库的发布及维护机制，在比较目前主流特色数据库建设系统的基础上，就WEB网络数据和全文检索系统进行了深入探讨。     

重提卡片式目录的保留与废弃

随着图书馆自动化管理水平的提高、开架借阅体制的进一步普及和读者计算机使用能力的普及与提高，传统的卡片式目录应予废弃。     

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.     

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.