从视觉到事件——长沙简牍博物馆文化广场设计

本文通过介绍长沙简牍博物馆文化广场方案,诠释了立足东方传统的流动性、参与性、事件性的空间观念,并以此为线索组织空间道具和空间场景,塑造空间情节,唤起使用者对当地自然特征与文化生活的场所记忆和空间情感。     

CALL模式下电子词典多种注释信息对词汇附带习得的分析

随着现代技术的发展,许多学者开始关注将二语习得与新型技术相结合的研究领域。主要研究了在计算机辅助教学软件的帮助下,学生对电子词典中各种不同注释信息的选择方式及对词汇记忆的影响。实验中的CALL软件记录下学生对电子词典中注释信息的选择,和点击次数,通过前测和后测,得出：母语＋二语,母语＋二语的注释是最有利于词汇记忆的查阅方式。     

AmE的特征与发展--浅析它的拼写、词义及语音注读

RP(Received Pronunciation)虽然是英语语音学中讨论最多的英式标准英语,但现今赶时髦的年轻人却渐渐喜欢上了AmE(American English),即美国英语。因为它具有时代感(现代型),语音、语法要求及词义使用灵活随意。章分析了AmE的特征,浅析它的拼写、词义及语音注读,以及它与RP的区别,旨在帮助美语学习听、说、读、写、译的全面发展。     

中文电子病历命名实体标注语料库构建

针对中文电子病历命名实体语料标注空白的现状,研究了中文电子病历命名实体标注语料库的构建。参考2010年美国国家集成生物与临床信息学研究中心(1282)给出的电子病历命名实体类型及修饰类型的定义,在专业医生的指导下制定了详尽的中文电子病历标注规范;通过对大量中文电子病历的分析,提出了一套完整的中文电子病历命名实体标注方案,而且采用预标注和正式标注的方法,建立了一定规模的中文电子病历命名实体标注语料库,其标注语料的一致性达到了92%以上。该工作对中文电子病历的命名实体识别及信息抽取研究提供了可靠的数据支持,对医疗知识挖掘也有重要意义。     

飞机钣金特征的智能三维标注技术

采用CAA对CATIA进行二次开发,建立了钣金零件的检验规划系统.通过钣金零件的检验规划系统得到特征的检验方法,并将所有特征对应的检验方法通过智能三维标注技术,标注到三维模型上.智能三维标注,即通过人机智能交互的方式,将所有的检验信息全部表示在三维图上,简单,直观,明了.     

A novel method to quantify gene set functional association based on gene ontology

Numerous gene sets have been used as molecular signatures for exploring the genetic basis of complex disorders. These gene sets are distinct but related to each other in many cases; therefore, efforts have been made to compare gene sets for studies such as those evaluating the reproducibility of different experiments. Comparison in terms of biological function has been demonstrated to be helpful to biologists. We improved the measurement of semantic similarity to quantify the functional association between gene sets in the context of gene ontology and developed a web toolkit named Gene Set Functional Similarity (GSFS; http://bioinfo.hrbmu.edu.cn/GSFS). Validation based on protein complexes for which the functional associations are known demonstrated that the GSFS scores tend to be correlated with sequence similarity scores and that complexes with high GSFS scores tend to be involved in the same functional catalogue. Compared with the pairwise method and the annotation method, the GSFS shows better discrimination and more accurately reflects the known functional catalogues shared between complexes. Case studies comparing differentially expressed genes of prostate tumour samples from different microarray platforms and identifying coronary heart disease susceptibility pathways revealed that the method could contribute to future studies exploring the molecular basis of complex disorders.     

云计算中的群体智能与不确定性知识表示

The lasting evolution of computing environment, software engineering and interaction methods leads to cloud computing. Cloud computing changes the configuration mode of resources on the Internet and all kinds of resources are virtualized and provided as services. Mass participation and online interaction with social annotations become usual in human daily life. People who own similar interests on the Internet may cluster naturally into scalable and boundless communities and collective intelligence will emerge. Human is taken as an intelligent computing factor, and uncertainty becomes a basic property in cloud computing. Virtualization, soft computing and granular computing will become essential features of cloud computing. Compared with the engineering technological problems of IaaS (Infrastructure as a service), PaaS (Platform as a Service) and SaaS (Software as a Service), collective intelligence and uncertain knowledge representation will be more important frontiers in cloud computing for researchers within the community of intelligence science.     

Representational specificity of within-category phonetic variation in the long-term mental lexicon.

This study examines the potential encoding in long-term memory of subphonemic, within-category variation in voice onset time (VOT) and the degree to which this encoding of subtle variation is mediated by lexical competition. In 4 long-term repetition-priming experiments, magnitude of priming was examined as a function of variation in VOT in words with voiced counterparts (cape-gape) and without (cow-*gow) and words whose counterparts were high frequency (pest-best) or low frequency (pile-bile). The results showed that within-category variation was indeed encoded in memory and could have demonstrable effects on priming. However, there were also robust effects of prototypical representations on priming. Encoding of within-category variation was also affected by the presence of lexical counterparts and by the frequency of counterparts. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Selective attention and the acquisition of new phonetic categories.

A class of selective attention models often applied to speech perception is used to study effects of training on the perception of an unfamiliar phonetic contrast. Attention-to-dimension (A2D) models of perceptual learning assume that the dimensions that structure listeners' perceptual space are constant and that learning involves only the reweighting of existing dimensions to emphasize or de-emphasize different sensory dimensions. Multidimensional scaling is used to identify the acoustic-phonetic dimensions listeners use before and after training to recognize the 3 classes of Korean stop consonants. Results suggest that A2D models can account for some observed restructuring of listeners' perceptual space, but listeners also show evidence of directing attention to a previously unattended dimension of phonetic contrast. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

支持背景知识的多维端到端短语识别算法研究

目前,实体识别与依存关系分析,采用的主要是基于监督学习的深度端到端方法.这种方法存在两个问题:不能引入背景知识;不能识别出自然语言的多粒度、嵌套特征.为了解决以上问题,提出了基于短语窗口的依存句法标注规则,并标注了中文短语窗口数据集(CPWD),同时设计了配套的多维端到端短语识别模型(MDM模型).该标注规则以短语为最...