In terminology work, natural language processing, and digital humanities, several studies address the analysis of variations in context and meaning of terms in order to detect semantic change and the evolution of terms. We distinguish three different approaches to describe contextual variations: methods based on the analysis of patterns and linguistic clues, methods exploring the latent semanti...

This paper presents a study where semantic frames are used to mine financial news so as to quantify the impact of news on the stock market. We represent news documents in a novel semantic tree structure and use tree kernel support vector machines to predict the change of stock price. We achieve an efficient computation through linearization of tree kernels. In addition to two binary classificat...

The realization of the Semantic Web as a linked machine readable Web of data depends on the availability of authoring tools that enable ordinary Web users (i.e. non-experts w.r.t. Web technologies) to create and publish semantic data. In this paper, we introduce the “One Click Annotator” for enriching texts with RDFa annotations and linking resources through an intuitive user interface, thereby...

Objective: Verbal fluency is a cognitive function that can be easily assessed in bedside and provide useful data for clinical assessment of a variety of cognitive functions. We decided to provide a standardized test for the assessment of verbal fluency in Persian language, including both phonemic and semantic fluency subtests.  Method: First, three letters (P, D, and Sh) and three categories (...

Business Process Reengineering is one of the most widely adopted techniques to improve the efficiency of organisations. Transforming process models, we intend to change their semantics in certain predefined ways, making them more flexible, more restrictive, etc. To understand and control the semantic consequences of change we use CSP to capture the behaviour of processes before and after the tr...

Business Process Reengineering is one of the most widely adopted techniques to improve the efficiency of organisations. Transforming process models, we intend to change their semantics in certain predefined ways, making them more flexible, more restrictive, etc. To understand and control the semantic consequences of change we use CSP to capture the behaviour of processes before and after the tr...

We propose the first probabilistic approach to modeling cross-lingual semantic similarity (CLSS) in context which requires only comparable data. The approach relies on an idea of projecting words and sets of words into a shared latent semantic space spanned by language-pair independent latent semantic concepts (e.g., crosslingual topics obtained by a multilingual topic model). These latent cros...

Objective: According to the declarative/procedural model, the semantic aspect of language depends on the brain structures responsible for declarative memory. The word pairs task is a common tool for evaluating declarative memory. The current study aimed to design a valid and reliable task for evaluating declarative memory in Persian children at learning and retention stages and to investigate i...

This paper proposes a content-based temporal video segmentation system that integrates syntactic (domain-independent) and semantic (domain-dependent) features for automatic management of video data. Temporal video segmentation includes scene change detection and shot classiication. The proposed scene change detection method consists of two steps: detection and tracking of semantic objects of in...

content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. the challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. hence, in this paper, an image retrieval system is introduced that provided two kind of qu...