Vertical Search Engine-aimed Semantic Correlation Algorithm Based on Knowledge 面向垂直搜索引擎的基于知识的语义关联算法
THE NATURE OF SUBLEXICAL PROCESSING IN READING CHINESE: PHONOLOGICAL ACTIVATION OF SEMANTIC RADICALS; A Study on the Correlation between Chinese College EFL Students 'Pronunciation and Their Listening Comprehension 亚词汇水平加工的本质:形旁的语音激活大学生英语发音与听力水平相关性研究
Prediction on Semantic Orientation of Texts Based on Topic Correlation 基于主题相关性分析的文本倾向性研究
Research on Semantic Orientation of Chinese Texts Based on Topic Correlation 基于主题相关性的中文文本情感分类研究
Object-Oriented Forestry Land Extraction Based on Semantic Correlation 基于语义相关的面向对象林地信息提取
In order to get the semantic correlation of images, two learning methods based-on mutual information and image association factor, are proposed. 提出了基于互信息的图像间语义关系学习方法和基于图像关联因子的图像间语义关系学习方法。
By using semantic correlation among paragraphs in an article and that among articles, automatic generation of multi-document summary was implemented. 该方法利用文档内和文档之间段落的语义相关性,实现了多文档文摘的自动生成。
This paper, from the perspective of the generation and semantic ambiguity, analyzes the correlation of Chinese numerals and Russian numerals through certain examples, which aims at revealing their similarities and differences in semantics as well as the accessible reasons in these two languages. 本文以汉俄语数词为例,分析对比了汉俄数词语义视角下的模糊意义及其生成方式,旨在揭示汉俄语数词的语用意义方面的异同点和广泛存在的原因。
By semantic inference, inquiring navigation and processing the correlation feedback information inquired out, the system can understands the intention of customer better. 通过语义推理、查询导航,以及对查询结果相关性反馈信息的处理,更好地理解用户查询意图;
In terms of translation, ideational grammatical metaphor has a correlation with semantic translation while interpersonal grammatical metaphor has a correlation with pragmatic translation. 就翻译而言,概念语法隐喻与语义翻译相联系,人际语法隐喻与语用翻译相联系。
The semantic hashing preserves the semantic distance property of words, which guarantees a positive correlation between the difference of semantic hash values for two words and the semantic distance of the two words. 这种语义哈希很好地保持了词与词的相对语义距离,即语义距离与语义哈希值的差正相关。
This paper introduces the semantic correlation of nodes and the prediction function. Prediction function can effectively predict hot resources in advance, and copy the hot resources in advance. Then it can place the copy in a more appropriate location by semantic correlation of nodes. 本文通过引入节点的语义特性,并且引入预测函数,能够预先有效地进行预测,对于即将产生的热点资源进行提前复制,同时,把副本放置到更合适的位置。
The solving of word association degree computing and the expanding of semantic similarity degree and semantic correlation degree are the basic of extracting entity, attribute and attribute value. 解决了语义层面上的词语关联度计算,扩展了词语语义相似度和词语语义相关度概念,是抽取实体、属性、属性值的基础。
Semantic responses and English proficiency were correlated to some extent, and the correlation was significant. 语义反应和英语水平在一定程度上呈显著的正相关。
RS semantic model build the correlation between the characteristic words and similarity, and consider the feature extraction to avoid synonyms and polysemy in text features. 构建特征词之间的相关度与相似度的RS语义模型考虑特征抽取中避免近义词与多义词对文本特征的影响。
The segmentation of the dialogue parts from the video can be used for the follow-up video semantic correlation analysis, video summary, retrieval etc. This job has important theoretical meaning and practical value. 影视作品中对白单元的切分可用于后续的视频语义关联分析、视频摘要、检索等。对影视作品中的对白单元进行切分有着重要的理论意义和实用价值。
By semantic reasoning process, we get the correlation relationship between papers. Therefore we solve the problem of lack of semantic on resource object in the retrieval and make the result meet the need of users. 通过语义推理处理,可以充分发掘文献之间的关联关系,因而能够解决检索中资源对象语义信息缺乏的问题,满足用户检索的需求。
After that, the semantic correlation degree between every two images is obtained through the analysis and exploration of feedback logs. 然后,通过分析和利用反馈日志,得到图像之间的语义关联度。
However, with expansion of document sets, traditional text clustering algorithm encountered a number of insurmountable difficulties. For instance, algorithm ignores the semantic correlation between words, the instability of result. 但是,传统的文本聚类算法忽略了文本中单词之间的语义相关性,存在聚类结果不稳定等问题。
On the basis of it, the semantic correlation matrix is constructed, and the images are clustered with K-means algorithm based on such matrix. 以此为基础,构建语义关联度矩阵,并基于该矩阵对图像进行K均值聚类。
Then the semantic relationship between annotations is analyzed. The correlations between keyword is picked up, and stored in a matrix which named inter-word correlation matrix. 然后,全面分析标注关键字之间的语义关系,提取了关键字之间的词间相关关系,并利用词间相关性矩阵进行存储。
The quality of users is up to the semantic correlation between the tags they created and the corresponding resources. 用户的质量主要取决于用户提交的标注词与相应资源的语义相关性。