The Impact of Answers in Referential Visual Dialog

In the visual dialog task GuessWhat?! two players maintain a dialog in order to identify a secret object in an image. Computationally, this is modeled using a question generation module and a guesser module for the questioner role and an answering model, the Oracle, to answer the generated questions. This raises a question: what's the risk of having an imperfect oracle model?. Here we present work in progress in the study of the impact of different answering models in human generated questions in GuessWhat?!. We show that having access to better quality answers has a direct impact on the guessing task for human dialog and argue that better answers could help train better question generation models.

Towards Task-Agnostic Privacy- and Utility-Preserving Models

Modern deep learning models for natural language processing rely heavily on large amounts of annotated texts. However, obtaining such texts may be difficult when they contain personal or confidential information, for example, in health or legal domains. In this work, we propose a method of de-identifying free-form text documents by carefully redacting sensitive data in them. We show that our method preserves data utility for text classification, sequence labeling and question answering tasks.

What can Neural Referential Form Selectors Learn?

Despite achieving encouraging results, neural Referring Expression Generation models are often thought to lack transparency. We probed neural Referential Form Selection (RFS) models to find out to what extent the linguistic features influencing the RE form are learned and captured by state-of-the-art RFS models. The results of 8 probing tasks show that all the defined features were learned to some extent. The probing tasks pertaining to referential status and syntactic position exhibited the highest performance. The lowest performance was achieved by the probing models designed to predict discourse structure properties beyond the sentence level.

Validity-Based Sampling and Smoothing Methods for Multiple Reference Image Captioning

In image captioning, multiple captions are often provided as ground truths, since a valid caption is not always uniquely determined. Conventional methods randomly select a single caption and treat it as correct, but there have been few effective training methods that utilize multiple given captions. In this paper, we proposed two training technique for making effective use of multiple reference captions: 1) validity-based caption sampling (VBCS), which prioritizes the use of captions that are estimated to be highly valid during training, and 2) weighted caption smoothing (WCS), which applies smoothing only to the relevant words the reference caption to reflect multiple reference captions simultaneously. Experiments show that our proposed methods improve CIDEr by 2.6 points and BLEU4 by 0.9 points from baseline on the MSCOCO dataset.

Evaluation Performance Of Localization Algorithms in Wireless Sensor Networks

The location of wireless sensor nodes located in the center is necessary for applications where information about the site is important information such as security, protection, object tracking and other applications. localization algorithms are classified into two types: Range-based and Range-free. The study focused on Range-free localization algorithms because they are less expensive in terms of hardware requirements. The MATLAB was used to simulate the algorithms, whose performance was evaluated by changing the number of network nodes, the number of Anchor nodes, and the contract area of communication in order to illustrate performance differences in terms of localization error. The results showed the superiority of the amorphous algorithm, achieving high localization accuracy and lower cost for the number of Anchor nodes needed to achieve a small error.

The extent to which food companies exporting in Syria are concerned about cultural and social differences when entering international markets

The research aims at identifying the extent to which food exporting companies in Syria are interested in cultural and social influences (family, women, education, reference groups, language, religion, aesthetics, customs and traditions) in the targeted international markets. The research adopted descriptive analytical method. The research community was one of the exporting food companies in Syria.

Apply benchmarking method at Syrian banks, and the impact on the quality of banking services

The research aims mainly to study the method of Benchmarking as a mean for continuous improvement of quality and the possibility of its usage in the Syrian banks, and to figure out any obstacles for such application therefore finding the right solutions.

Developing A Comprehensive Accident Report Template For Syria And Evaluating The Limitation In The Currently

The primary objective of this research is to assess the state of the road accidents’ data currently collected by using traditional text reports in the Syrian Arab Republic. The followed approach consisted of two main steps: (1) Developing a comprehensive road accident report template which contains all data items that should collected from a road accident . (2) Digitizing data from randomly selected traditional road accident text reports into a computer database developed based on the accident report template established in step 1.

تطبيق أسلوب المقارنة المرجعية في المصارف السورية و أثر ذلك على تحسين جودة الخدمات المصرفية

The research aims mainly to study the method of Benchmarking and the possibility of its usage in the Syrian banks, and to figure out any obstacles for such application therefore finding the right solutions, and for this goal the researcher did the following, Conduction of an extensive theoretical study.

The impact of cultural and social differences at the international product packaging A field study on food industry companies (oil refining and packaging) in the Syrian Coast

The research aims to study the impact of cultural and social differences, namely (language, aesthetics, customs and traditions, family, women, education, reference groups) on the process of international product packaging. To achieve the objectives of the research were built identify and Toseahaaly workers in companies food industry in the Syrian coast (refining and filling oils), The number of questionnaires distributed (122) form, where the re-ones (113) form a complete and valid for statistical analysis, and by answer was (92.62%) . And using appropriate statistical methods was one of the most important results: 1-affect cultural and social differences (family, women, education) on the process of international product packaging, where it was found a significant correlation and a very tough between these factors and the process of international product packaging. 2-affect social and cultural differences (language, aesthetics, customs and traditions, reference groups) on the process of international product packaging, where it was found a significant correlation strong between these factors and the process of international product packaging.