外语分馆在"自主性学习"中的作用

自主性学习,是高校图书馆学生读者学习能力提升的一个重要表现,图书馆馆员在大学生自主性学习能力提升过程中肩负非常重要的任务。通过馆员对学生读者的不断培育与指导,为大学生自主性学习提供更好和更广阔的学习平台,并使学生读者的自主性学习水平和能力不断提高。     

关于开展南岭民族研究的构想

"南岭民族走廊"是费孝通先生提出的与"西北走廊"、"藏彝走廊"相并称的中国三大民族走廊之一,是壮侗语族、苗瑶语族各民族的聚居区.这里族群构成复杂,文化积淀深厚,需要借助多学科的理论方法,拓展南岭民族研究的新领域,促进南岭民族的社会发展和文化复兴,以"边缘活力"展示南岭民族研究的学术价值和广阔的研究前景,为构筑涵盖中华民族整体的文化史观提供事实和理论依据.     

人文知识的特性及其教育意蕴

人文知识的特性主要表现为:人文知识承载着事实之外的价值负荷性;人文知识的自身演进及其与人类社会历史演化的悖论性;人文认知结论对研究对象变化过程的直接涉入性;人文知识具有默会维度上的根源性和先决性;人文知识的语言性。揭示这些特性将为人文教育乃至整个教育的方式、方法提供新的思考视角。     

情报检索语言的词汇控制问题

本文在情报检索语言和自然语言原理、交流方式等简要比较的基础上,对情报检索中词汇控制的必要性,词汇控制的内容,原则以及词汇控制对检索效率的影响,进行了探讨。     

Using lexical chains for keyword extraction

Keywords can be considered as condensed versions of documents and short forms of their summaries. In this paper, the problem of automatic extraction of keywords from documents is treated as a supervised learning task. A lexical chain holds a set of semantically related words of a text and it can be said that a lexical chain represents the semantic content of a portion of the text. Although lexical chains have been extensively used in text summarization, their usage for keyword extraction problem has not been fully investigated. In this paper, a keyword extraction technique that uses lexical chains is described, and encouraging results are obtained.     

Abstractive headline generation using WIDL-expressions

We present a new paradigm for the automatic creation of document headlines that is based on direct transformation of relevant textual information into well-formed textual output. Starting from an input document, we automatically create compact representations of weighted finite sets of strings, called WIDL-expressions, which encode the most important topics in the document. A generic natural language generation engine performs the headline generation task, driven by both statistical knowledge encapsulated in WIDL-expressions (representing topic biases induced by the input document) and statistical knowledge encapsulated in language models (representing biases induced by the target language). Our evaluation shows similar performance in quality with a state-of-the-art, extractive approach to headline generation, and significant improvements in quality over previously proposed solutions to abstractive headline generation.     

Dependency structure language model for topic detection and tracking

In this paper, we propose a new language model, namely, a dependency structure language model, for topic detection and tracking (TDT) to compensate for weakness of unigram and bigram language models. The dependency structure language model is based on the Chow expansion theory and the dependency parse tree generated by a linguistic parser. So, long-distance dependencies can be naturally captured by the dependency structure language model. We carried out extensive experiments to verify the proposed model on topic tracking and link detection in TDT. In both cases, the dependency structure language models perform better than strong baseline approaches.     

计算机程序设计课程理论教学方法探讨

本文根据在程序设计课程教学过程中存在的问题,提出了一些相应的讲授方法。对计算机语言成分的讲解要透彻,而实例和函数模块的讲授则应侧重于对学生进行程序设计能力以及分析问题、解决问题能力的培养,为后继专业课程的学习打下扎实的基础。     

基于全球胜任力的C语言英文在线教学研究与实践

针对全球化时代的高等教育问题,分析基于全球胜任力的教学现状,根据教学实际问题,提出基于全球胜任力的教学目标,设计了C语言全英文课程在线教学体系。从全球胜任力的4个维度出发,介绍如何培养具备全球胜任力的领军人才。     

莆仙方言单字调实验语音学研究

前人学者对莆仙方言单字声调的调类归并与调值描写存在各种观点。采用实验语音学研究方法,与传统研究相结合,探讨莆仙方言单字声调,进一步描写莆仙方言的时长特征,与传统调值进行对比分析。本次实验所得莆仙方言共有7个调类,即:阴平、阳平、上声、阴去、阳去、阴入、阳入,单字调调值分别为533、334、331、51、31、41、3。