Reading a document and extracting an answer to a question about its content has attracted substantial attention recently, where most work has focused on the interaction between the question and the document. In this work we evaluate the importance of context when the question and the document are each read on their own. We take a standard neural architecture for the task of reading comprehensio...

We present a novel evolutionary engine for the evolution of context free grammars. The system relies on specially designed graphbased crossover and mutation operators. While in most evolutionary art systems each individual corresponds to a single artwork, in our approach each individual is a context free grammar that specifies a family of shapes following the same production rules. To assess th...

Different types of reading strategies pose challenges to instructors and learners in the English as a Foreign Language (EFL) context. This study aimed at identifying and comparing reading strategies used by instructors and students in dealing with literal comprehension, reorganization, and inferential comprehension questions. The participants werefive EFL instructors and 27 students from the En...

This study, situated in an EFL context, aimed at discovering the ways purposes behind reading activities  influence  vocabulary  knowledge  gain  and  retrieval.  Seventy  five  elementary  learners of  English  were  randomly  assigned  to  three  groups  of  ‘free  reading’,  ‘reading  comprehension’ and ‘reading to summarize’. A modified text was administered to all the three groups. The dat...

Objective Art business takes place in an institutional context and is highly reliant on the cultural, political, and social content of a society. Because of a variety of reasons such as the profitability of art industry in foreign market, low academic marketing knowledge, the opposing ideas to art economy according to its players, the high rate of graduate students in art disciplines and the n...

The reading comprehension machine learning task involves reading in a question and returning an answer from an associated context paragraph. This task has proven to be difficult, as the performance of state-of-the-art models still do not compare with human performance. The difficulty of the tasks comes from understanding two separate pieces of information as well as the relationship between the...