The Difference and Application of Semantic Translation and Communicative Translation

The concepts of communicative and semantic translation represent Peter Newmark’s main contribution to general translation theory.Both semantic and communicative translations comply with the usually accepted syntactic equivalents or correspondences for the source text(ST) languages and the target language(TL) and each of the two translation methods has its own characteristics as well as application fields.     

模糊逻辑与自然语言中的语义模糊

自然语言和形式语言的一个重要区别,是自然语言具有语义模糊性。二值逻辑与三值逻辑对命题语义处理是不足的。以札德"模糊集合论"为理论基础的模糊语义分析为我们提供了一种描述模糊语词语义真值多样性和渐进性的全新观念和手段。     

On Peter Newmark’s Semanic Translation & Communicative Translation

Peter Newmark has written many preeminent works on translation theory. He classifies the translation texts into differ?ent types,and puts forward his great translation methods-communiative translation ...     

Effective ranking and search techniques for Web resources considering semantic relationships

On the Semantic Web, the types of resources and the semantic relationships between resources are defined in an ontology. By using that information, the accuracy of information retrieval can be improved.     

“才怪”的词汇化及语用功能

"才怪"在现代汉语口语中十分常见,通过分析"才怪"的句法语义表现,可以拟测其词汇化过程并探讨其词汇化机制。我们初步推测"才怪"是由"才+奇怪"演化并词汇化。"才怪"作为后置标记,表达反预期信息,具有否定功能。"才怪"具有特殊的否定语用价值,在使用上有一定的制约条件。     

Relevance-based entity selection for ad hoc retrieval

Recent developments have shown that entity-based models that rely on information from the knowledge graph can improve document retrieval performance. However, given the non-transitive nature of relatedness between entities on the knowledge graph, the use of semantic relatedness measures can lead to topic drift. To address this issue, we propose a relevance-based model for entity selection based on pseudo-relevance feedback, which is then used to systematically expand the input query leading to improved retrieval performance. We perform our experiments on the widely used TREC Web corpora and empirically show that our proposed approach to entity selection significantly improves ad hoc document retrieval compared to strong baselines. More concretely, the contributions of this work are as follows: (1) We introduce a graphical probability model that captures dependencies between entities within the query and documents. (2) We propose an unsupervised entity selection method based on the graphical model for query entity expansion and then for ad hoc retrieval. (3) We thoroughly evaluate our method and compare it with the state-of-the-art keyword and entity based retrieval methods. We demonstrate that the proposed retrieval model shows improved performance over all the other baselines on ClueWeb09B and ClueWeb12B, two widely used Web corpora, on the [email protected], and [email protected] metrics. We also show that the proposed method is most effective on the difficult queries. In addition, We compare our proposed entity selection with a state-of-the-art entity selection technique within the context of ad hoc retrieval using a basic query expansion method and illustrate that it provides more effective retrieval for all expansion weights and different number of expansion entities.     

叙词表转换为Ontology的研究

Ontology为需要共享某一领域信息的研究人员提供了通用的词表，而这正是传统的叙词表在信息检索中所起的作用。本文对叙词表向OntologY转换进行了综合性介绍，分别介绍了Ontology定义及作用、叙词表和Ontology的联系、Ontology所包含的内容和建立步骤以及叙词表转换为Ontology的研究和进展，最后结合一个具体实例加以阐述。     

语义检索

语义检索是信息检索的发展趋势。本文介绍了三个语义检索系统－UMLS、Semantic web以及WordNet的结构、特点和原理。     

Web数据关联创建策略研究

调研关联数据的关联关系创建算法和策略,分析同构模式下属性相似度和图形相似度算法以及相应的组合策略,对比研究异构模式下包含和不包含实例信息的架构映射方法,对可创建丰富语义关联的推导传递的思想进行剖析,并提出关联创建面临的挑战。     

利用D2R实现关系数据库与关联数据的语义模式映射

关系型数据库和关联数据的概念模型都基于现实世界的实体、属性及其关系而构建,具备建立映射和实现转换的可能性。两者语义模式映射的重点是关联关系的构建与表达。开源软件D2R的映射语言,通过核心要素ClassMap、PropertyBridge及其属性,支持关系数据库的SQL实现,支持将关系数据库不同实体之间、同一实体内部及与外部数据的关联关系构建为RDF链接。