This study applied text mining techniques, machine learning approaches and statistical methods to construct a predictive model of a prioritized English vocabulary list to help nonnative English speakers prepare for college entrance English exams. Developing a method for efficiently learning English vocabulary in a limited time is an import issue. This study suggests that highly relevant and fre...

This paper describes our contribution to the English Entrance Exams task of CLEF 2015, which requires participating systems to automatically solve multiple choice reading comprehension tasks. We use a combination of text segmentation and different similarity measures with the aim of exploiting two observed aspects of tests: 1) the often linear relationship between reading text and test question...

Introduction. Human resources are the most important source. It has a basic role in our country especially as a developing country. Postgraduate entrance exams are difficult exams due to fewer universities’ capacity, its costs and length, it can train our future builders as well. This study will describe & explain the statistical and evaluation criteria of Ph.D. entrance nursing exam in 1379. ...

BACKGROUND Entrance examination (admission test) is the most important and widely accepted method of student selection for admission into medical schools in Nepal. For many schools it is the only criterion of student selection. OBJECTIVES To examine relationships of scores obtained in schooling (grade 10 and 12), medical entrance and MBBS professional examinations in a cohort to identify pred...

This paper describes the approach used in the system for the Question Answering Task based on Entrance Exams, which was presented at the CLEF 2014. The task aims to evaluate methods of text understanding with reading comprehension tests. The system should read a given document and answer multiple-choice questions about it. Our approach transforms the documents along with the multiple-choice ans...

This work aims at evaluating the indexing of subject metadata published on MercadoEditorial.org platform. The goal: to verify if is consistent. First, analysis was done tools available platform for assigning keywords, and, afterwards, publishers were documented and verified by running intrinsic evaluation interconsistency. all compare one four authors. authors Ciranda Cultural, IBEP, Excelsior ...