A Corpus-Based Learning Method of Compound Noun Indexing Rules for Korean

In Korean information retrieval, compound nouns play an important role in improving precision in search experiments. There are two major approaches to compound noun indexing in Korean: statistical and linguistic. Each method, however, has its own shortcomings, such as limitations when indexing diverse types of compound nouns, over-generation of compound nouns, and data sparseness in training. In this paper, we propose a corpus-based learning method, which can index diverse types of compound nouns using rules automatically extracted from a large corpus. The automatic learning method is more portable and requires less human effort, although it exhibits a performance level similar to the manual-linguistic approach. We also present a new filtering method to solve the problems of compound noun over-generation and data sparseness.     

Measuring Search Engine Quality

The effectiveness of twenty public search engines is evaluated using TREC-inspired methods and a set of 54 queries taken from real Web search logs. The World Wide Web is taken as the test collection and a combination of crawler and text retrieval system is evaluated. The engines are compared on a range of measures derivable from binary relevance judgments of the first seven live results returned. Statistical testing reveals a significant difference between engines and high intercorrelations between measures. Surprisingly, given the dynamic nature of the Web and the time elapsed, there is also a high correlation between results of this study and a previous study by Gordon and Pathak. For nearly all engines, there is a gradual decline in precision at increasing cutoff after some initial fluctuation. Performance of the engines as a group is found to be inferior to the group of participants in the TREC-8 Large Web task, although the best engines approach the median of those systems. Shortcomings of current Web search evaluation methodology are identified and recommendations are made for future improvements. In particular, the present study and its predecessors deal with queries which are assumed to derive from a need to find a selection of documents relevant to a topic. By contrast, real Web search reflects a range of other information need types which require different judging and different measures.     

多维格局的求是精神——评王辉斌教授《李白求是录》

王辉斌教授李白研究力著《李白求是录》出版了,这是近年来李白研究的最新成果。作者从动态型式的整体观照、多元视角的系统思维、宏微互渗的立体态势等多维格局去研究李白,使人窥视到李白学术研究纵深处的许多壶奥,因而此书在还原历史真相的同时又具有方法论的深远意义。     

终身体育的社会环境建设辨析

通过对终身体育与社会环境相互关系的分析，得出社会物质环境为终身体育的诞生和发展提供了必要的物质基础，社会的人环境为终身体育的产生和发展提供动力。经过分析认为，进行终身体育的社会环境建设是必要的和可行的。     

如何帮助大学生渡过英语学习转型期

中学外语教育在分数和升学的压力下,学生自觉或不自觉地采用了不恰当的学习方法,给后继教育增加了困难,大学教师要尽早发现新生学习中存在的问题,纠正学生对外语学习不正确的认识和不良的学习习惯,以适应大学阶段及更长效的学习。     

关于建国以来高校体育专业<体操>教材的研究

对建国以来 5种版本的全国高校体育专业《体操》教材进行比较 ,分析了章节内容、教材特点和结构比例 ,认为各版本教材反映了体操学科知识的系统性和我国体操理论及技术发展的时代特征 ;各版本章节内容的侧重面体现了各历史阶段高校体育专业的教改要求 ,适合体育专业的培养目标 ,教材的发展已形成”体院”和”高校”版二种体系。提出了在 2 1世纪体操教材建议中应探讨的若干问题     

试论网络环境下高校图书馆的参考咨询工作

分析了当前我国高校图书馆所处的网络环境，网络环境下参考咨询工作的新特点和主要问题，提出了深化基于网络的高校图书馆参考咨询服务的新思路。     

剑桥大学教学质量保障体系及其对我国高等教育的启示

剑桥大学有一套包括目标、组织机构、计划、内外程序等在内的完整的教学质量保障体系,该体系具有科学性、系统性、规范性和创新性等显著特征。剑桥大学的教学质量保障体系符合国际标准,其创立的现代质量管理理念、方法适合于高校教学质量管理。剑桥教学质量保障体系为探索建立适合我国高等教育发展实际的质量保障体系提供了重要启示。     

对《全国普通高等学校体育课程教学指导纲要》的理性认识

《全国普通高等学校体育课程教学指导纲要》是对我国高校体育课程长期以来建设经验和教学改革成果的提炼与总结，通篇贯穿了“以人为本，健康第一”这条主线，体现了“素质教育”和“终身体育”的指导思想，注重理论与实践的结合。原则性与灵活性的统一，具有很强的针对性和指导作用．但目前人们对《纲要》仍然存在许多认识上的误区和理解上的偏差，严重阻碍《纲要》的贯彻实施，本文从课程性质、课程目标及实现目标的基本途径三个方面对强纲要》进行理性认识，以期赢得广大同仁的强烈共鸣，为《纲要》在全国普通高等学校中顺利施行打下坚实的理论基础。     

管理创新:提升甘肃高校竞争力的关键

管理创新是新时期我国高等学校提高教学质量和学校竞争力的关键。与中西部一些发展较快的省市高校相比,管理创新能力不足是制约甘肃省高校竞争力发展的主要因素。要改变这种状况,各高校必须转变思想观念,发挥后发优势,实现管理思想、目标、方法、手段、组织、制度、环境的创新,这是提升甘肃省高校竞争力的根本出路。同时,还要进一步强化对管理创新重要性的认识,加强高校管理队伍专业化建设,继续争取政府在办学自主权等方面的支持。