This descriptive-correlational study examined the effect of brand extension on current image in the scope of Tabriz Majid products in the city of Tabriz. The study population comprised consumers of Majid products and fans of Tractorsazi, and the sample size was 380 persons. A simple random sampling method and an infinite population formula were used as well as a five-option Likert questionnaire...

We present ERSS 2005, our entry to this year’s DUC competition. With only slight modifications from last year’s version to accommodate the more complex context information present in DUC 2005, we achieved a similar performance to last year’s entry, ranking roughly in the upper third when examining the ROUGE-1 and Basic Element score. We also participated in the additional manual evaluation base...

In this tutorial article, the concepts of correlation and regression are reviewed and demonstrated. The authors review and compare two correlation coefficients, the Pearson correlation coefficient and the Spearman rho, for measuring linear and nonlinear relationships between two continuous variables. In the case of measuring the linear relationship between a predictor and an outcome variable, s...

In this paper we discuss manual and automatic evaluations of summaries using data from the Document Understanding Conference 2001 (DUC-2001). We first show the instability of the manual evaluation. Specifically, the low interhuman agreement indicates that more reference summaries are needed. To investigate the feasibility of automated summary evaluation based on the recent BLEU method from mach...

No-reference image quality metrics are of fundamental interest as they can be embedded in practical applications. The main goal of this paper is to perform a comparative study of seven well known no-reference learning-based image quality algorithms. To test the performance of these algorithms, three public databases are used. As a first step, the trial algorithms are compared when no new learni...

This paper introduces a Czech dataset for semantic similarity and semantic relatedness. The dataset contains word pairs with hand annotated scores that indicate the semantic similarity and semantic relatedness of the words. The dataset contains 953 word pairs compiled from 9 different sources. It contains words and their contexts taken from real text corpora including extra examples when the wo...

In this paper, we present a set of computational methods to identify the likeliness of a word being borrowed, based on the signals from social media. In terms of Spearman correlation coefficient values, our methods perform more than two times better (nearly 0.62) in predicting the borrowing likeliness compared to the best performing baseline (nearly 0.26) reported in literature. Based on this l...

Chinese word similarity computing is a fundamental task for natural language processing. This paper presents a method to calculate the similarity between Chinese words based on combination strategy. We apply Baidubaike to train Word2Vector model, and then integrate different methods, Dictionarybased method, Word2Vector-based method and Chinese FrameNet (CFN)based method, to calculate the semant...

OBJECTIVE To translate into Arabic and validate the SF-36 quality of life index in a Tunisian Arabic population. BACKGROUND No validated Arabic quality of life index is published. DESIGN Arabic translation of the SF-36 scale was obtained by the "forward/backward translation" method. Adaptations were made after a pilot study involving 22 subjects from general population. Inter-rater reliabil...