ARCOQ: Arabic Closest Opposite Questions Dataset

This paper presents a dataset for closest opposite questions in Arabic language. The dataset is the first of its kind for the Arabic language. It is beneficial for the assessment of systems on the aspect of antonymy detection. The structure is similar to that of the Graduate Record Examination (GRE) closest opposite questions dataset for the English language. The introduced dataset consists of 500 questions, each contains a query word for which the closest opposite needs to be determined from among a set of candidate words. Each question is also associated with the correct answer. We publish the dataset publicly in addition to providing standard splits of the dataset into development and test sets. Moreover, the paper provides a benchmark for the performance of different Arabic word embedding models on the introduced dataset

Identification of the Training Needs and their Impact on Performance: An Application Study on the Administrative Leadership in Libyan Commercial Banks

The study focused on the impact of identifying training needs on application’s performance of the administrative leadership in Libyan commercial banks. The study’s sample consisted of Libyan commercial banks’ administrative leaders. The total sample size is (216) leaders who represent the members of the board of directors, general managers, heads of departments, heads of administration and office managers of Libya’s five largest commercial banks. The researcher used the descriptive analytical method in the study. The instrument was designed to achieve its goals and it confirms the factors’ validity and reliability before the final application was processed through an empirical sample. The results showed the presence of the impact of a statistically significant value to determine the performance’s training needs. The results showed that the value (F) was calculated (225.095) with degree of freedom (4), a statistically significant value at the level of significance (α≤0.05), and reached the coefficient correlation (.877a), a value that indicates a positive relationship .- coefficient of determination (R2) (.575), which indicates the study’s independent variables explain the inconsistency in the administrative leaderships’ performance in Libyan commercial banks with value of (%57.5). The results also showed test values (t). After identifying the significance of the training needs and their impact on the administrative leaders’ performance in Libyan commercial banks ,the beta value is (.391) and in terms of the values of (t) calculated (9.879), which is a significant value at a level of significance (α≤0.05), the methods of training needs’ identification have an impact on performance, reaching beta value (.205) and in terms of the values of (t) calculated the (5.972), a significant value at the level of significance (α≤0.05).The results also indicated that the support of the senior management of the training needs’ identification process had the greatest impact on the administrative leadership’s performance reaching beta value (.498) and in terms of the values of (t) calculated the (13.537), which is a significant value at the level of significance (α≤0.05). While it does not affect the process of identifying training needs which has its impact on administrative leadership’s performance in Libyan commercial banks. Keywords: Administrative leadership, Training needs, Performance, Libyan commercial bank

LAR vidéo: Codage sans perte à scalabilité sémantique

National audienceBaptisé "LAR Video", le schéma proposé dans cet article décrit un nouvel algorithme de compression vidéo sans perte avec scalabilité sémantique. Propre au codage vidéo, une étape d'estimation de mouvement est effectuée afin de produire une image d'erreur résiduelle. L'idée ici est d'appliquer sur cette erreur, une décomposition pyramidale issue d'une méthode de codage scalable d'images fixes, le LAR-APP. Résultantes d'une prédiction inter/intra niveau, les erreurs d'évaluation sont transmises progressivement. Le décodeur peut ainsi reconstruire les images de la séquence de façon scalable par niveau de résolution spatiale. Enfin au vu des résultats obtenus, nous pouvons affirmer que le schéma proposé offre en plus de la scalablité, des performances intéressantes en compression

LAR Video : Lossless Video Coding with Semantic Scalability

Baptized “LAR Video”, the method proposed in this paper describes a new lossless video coding algorithm with advanced semantic scalability. Motion estimation and compensation steps are undertaken first to produce the well known displaced frame difference (DFD). The basic idea is to apply a pyramidal decomposition to this residual error, based on an efficient scalable image compression technique named LAR-APP. As a result of progressive data broadcasting, the image-sequence can be scalably rebuilt in the decoder at different spatial resolution levels. The given experimental results show that the proposed solution achieves not only scalability but also good compression performances