Many information retrieval(IR) systems retrieve relevant documents based on exact matching of keywords between a query and documents. This method degrades precision rate. In order to solve the problem, we collected semantically related words and assigned semantic relationships used in general thesaurus and a special relationship called keyfact term(FT) manually. In addition to the semantic know...

Semantic strategies are a kind of discourse strategy that include the sum of language and cognitive moves which are used to reach an adequate goal of communication normally resulting in text comprehension by the reader or listener. Here, the language user takes a number of steps in order to perform a complex task. Semantic strategies in prejudiced talk have been examined extensively in western ...

Transfer covariance function, which can model domain similarity and adaptively control the knowledge transfer across domains, is widely used in learning. In this paper, we concentrate on Gaussian process ( GP ) models using a function for regression problems black-box learning scenario. Precisely, investigate family of rather general functions, ...

In this paper we propose to extend the current capabilities of automated reasoning systems by making use of techniques from integer programming We describe the architecture of an automated reasoning system based on a Herbrand procedure enumeration of formula instan ces on clauses The input are arbitrary sentences of rst order logic The translation into clauses is done incrementally and is contr...

Formula recognition is widely used in document intelligent processing, which can significantly shorten the time for mathematical formula input, but accuracy of traditional methods could be higher. In order to solve complexity an end-to-end encoder-decoder framework with attention mechanism proposed that converts formulas pictures into LaTeX sequences. The Vision Transformer (VIT) employed as en...

Composability in Modeling and Simulation community which can be defined as the capability to select and assemble a simulation model out of predefined simulation models or components is an important challenge due to the cost and time spent on developing a simulation model. Base Object Model, BOM, is a new standard for developing simulation components and making reusability and composability of c...

schema matching is a critical step in many applications, such as data warehouse loading, online analytical process (olap), data mining, semantic web [2] and schema integration. this task is defined for finding the semantic correspondences between elements of two schemas. recently, schema matching has found considerable interest in both research and practice. in this paper, we present a new impr...

The current article was an attempt to investigate the effect of semantic mapping strategy instruction on reading comprehension performance of EFL learners. To this end, thirty homogeneous Iranian intermediate EFL learners attending a language school in Bonab, Iran, were randomly assigned to two groups, one as the experimental and the other as the control. The experimental group received instruc...

The Gene Ontology (GO) is a major bioinformatics ontology that provides structured controlled vocabularies to classify gene and proteins function and role. The GO and its annotations to gene products are now an integral part of functional analysis. Recently, the evaluation of similarity among gene products starting from their annotations (also referred to as semantic similarities) has become an...