Analyzing Models for Semantic Role Assignment using Confusability

A semantic-aware role-based access control model for pervasive computing environments

Access control in open and dynamic Pervasive Computing Environments (PCEs) is a very complex mechanism and encompasses various new requirements. In fact, in such environments, context information should be used in access control decision process; however, it is not applicable to gather all context information completely and accurately all the time. Thus, a suitable access control model for PCEs...

The perirhinal cortex and conceptual processing: Effects of feature-based statistics following damage to the anterior temporal lobes

The anterior temporal lobe (ATL) plays a prominent role in models of semantic knowledge, although it remains unclear how the specific subregions within the ATL contribute to semantic memory. Patients with neurodegenerative diseases, like semantic dementia, have widespread damage to the ATL thus making inferences about the relationship between anatomy and cognition problematic. Here we take a de...

Confusability in L2 vowels: analyzing the role of different features

The production and perception of L2 vowels are influenced by the L1 vowel system. Most studies on L2 vowel production evaluate the learners’ pronunciation using subjective listening tests. In this study we present a novel objective method for investigating learner vowel confusability based on acoustic measurements. Monosyllabic words uttered by Spanish learners of Dutch are analyzed, and basic ...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

A Joint Semantic Vector Representation Model for Text Clustering and Classification

Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, their shortcoming in capturing semantic concepts of text motivated researches to use...