This study has examined the effect of semantic mapping on learning vocabulary across genders. The researchers selected 120 intermediate students after the administration of a standard proficiency test. A vocabulary test was also used to measure the students’ vocabulary knowledge. The experimental group received semantic mapping in the pre-reading stage, butthe control group did not receive this...

Semantic parsing is the task of mapping natural language sentences to complete formal meaning representations. The performance of semantic parsing can be potentially improved by using discriminative reranking, which explores arbitrary global features. In this paper, we investigate discriminative reranking upon a baseline semantic parser, SCISSOR, where the composition of meaning representations...

With the aim of building a ”Semantic Web”, the content of the documents must be explicitly represented through metadata in order to enable contents-guided search. Our approach is to exploit a standard language (RDF, recommended by W3C) for expressing such metadata and to interpret these metadata in conceptual graphs (CG) in order to exploit querying and inferencing capabilities enabled by CG fo...

After the introduction of MRI, new modalities facilitated the procedure of surgical planning to achieve the microsurgical goal and improve prognosis and quality of life in patients. Despite the variable applications of preoperative and intraoperative mapping and monitoring systems, several limitations and concerns are reported for every modality as well. In this issue of the IrJNS, we are delig...

This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling uncertainty in semantic web. In this approach, the source and target ontologies are first translated into Bayesian networks (BN); the concept mapping between the two ontologies are treated as evidential reasoning betw...

this study examined whether processing ambiguous sentences containing relative clauses (rcs) following a complex determiner phrase (dp) by persian-speaking learners of l2 english with different proficiency and working memory capacities (wmcs) is affected by semantic priming. the semantic relationship studied was one between the subject/verb of the main clause and one of the dps in the complex d...

This study examined whether processing ambiguous sentences containing relative clauses (RCs) following a complex determiner phrase (DP) by Persian-speaking learners of L2 English with different proficiency and working memory capacities (WMCs) is affected by semantic priming. The semantic relationship studied was one between the subject/verb of the main clause and one of the DPs in the complex D...

The excellent performance of deep neural networks mainly relies on the attributes dataset, such as size, diversity, completeness. However, it is usually difficult to obtain a high-qualified training dataset for some scenarios. Inspired by human visual cognition process with few sample learning, and strong robustness, we believe experience knowledge more powerful than large-scale data. To combin...