The aim of this study is to determine the effect of word clustering method on vocabulary learning of Iranian EFL learners through a case of semantic versus phonological clustering. To this effect, 80 homogeneous students from four intermediate classes at an English institute in Torbat e Heydariyeh participated in this research. They were assigned to four groups according to semantic versus phon...

Abstract: Semantic query optimization uses semantic knowledge to transform a query into another form that can be executed in a more efficient manner but still yields the same result as the original query. The semantic knowledge can be supplied by users or derived by the system.. In this paper, we describe the ARDOR semantic query optimizer with automatic rule derivation capabilities which, in r...

We propose the application of a novel sub-ontology extraction methodology for achieving interoperability and improving the semantic validity of information retrieval in the medical information systems (MIS) domain. The system offers advanced profiling of a user’s field of specialization by exploiting the concept of sub-ontology extraction, i.e., each sub-ontology may subsequently represent a pa...

A popular approach to semantic segmentation problems is to construct a pair wise Conditional Markov Random Field (CRF) over image pixels where the pair wise term encodes a preference for smoothness within pixel neighborhoods. Recently, researchers have considered higher-order models that encode local region or soft non-local constraints (e.g., label consistency or co-occurrence statistics). The...

This paper reviews the current state of the art of machine learning applied to the Semantic Web. It looks at the Semantic Web and its languages, including RDF and OWL, from a machine learning perspective. Trends in the Semantic Web are mentioned throughout and the relationship with Web Services is examined. Applications are discussed with recent examples and pointers to data sets. Finally, the ...

This paper shows how to construct semantic representations from the derivations produced by a wide-coverage CCG parser. Unlike the dependency structures returned by the parser itself, these can be used directly for semantic interpretation. We demonstrate that well-formed semantic representations can be produced for over 97% of the sentences in unseen WSJ text. We believe this is a major step to...

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 (...

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...