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It is widely accepted that fine-tuning pre-trained language models usually brings about performance improvements in downstream tasks. However, there are limited studies on the reasons behind this effectiveness, particularly from the viewpoint of stru ctural changes in the embedding space. Trying to fill this gap, in this paper, we analyze the extent to which the isotropy of the embedding space changes after fine-tuning. We demonstrate that, even though isotropy is a desirable geometrical property, fine-tuning does not necessarily result in isotropy enhancements. Moreover, local structures in pre-trained contextual word representations (CWRs), such as those encoding token types or frequency, undergo a massive change during fine-tuning. Our experiments show dramatic growth in the number of elongated directions in the embedding space, which, in contrast to pre-trained CWRs, carry the essential linguistic knowledge in the fine-tuned embedding space, making existing isotropy enhancement methods ineffective.
This paper addresses the efficiency challenge of Neural Architecture Search (NAS) by formulating the task as a ranking problem. Previous methods require numerous training examples to estimate the accurate performance of architectures, although the ac tual goal is to find the distinction between good'' and bad'' candidates. Here we do not resort to performance predictors. Instead, we propose a performance ranking method (RankNAS) via pairwise ranking. It enables efficient architecture search using much fewer training examples. Moreover, we develop an architecture selection method to prune the search space and concentrate on more promising candidates. Extensive experiments on machine translation and language modeling tasks show that RankNAS can design high-performance architectures while being orders of magnitude faster than state-of-the-art NAS systems.
Active research pertaining to the affective phenomenon of empathy and distress is invaluable for improving human-machine interaction. Predicting intensities of such complex emotions from textual data is difficult, as these constructs are deeply roote d in the psychological theory. Consequently, for better prediction, it becomes imperative to take into account ancillary factors such as the psychological test scores, demographic features, underlying latent primitive emotions, along with the text's undertone and its psychological complexity. This paper proffers team PVG's solution to the WASSA 2021 Shared Task on Predicting Empathy and Emotion in Reaction to News Stories. Leveraging the textual data, demographic features, psychological test score, and the intrinsic interdependencies of primitive emotions and empathy, we propose a multi-input, multi-task framework for the task of empathy score prediction. Here, the empathy score prediction is considered the primary task, while emotion and empathy classification are considered secondary auxiliary tasks. For the distress score prediction task, the system is further boosted by the addition of lexical features. Our submission ranked 1st based on the average correlation (0.545) as well as the distress correlation (0.574), and 2nd for the empathy Pearson correlation (0.517).
Because of the importance of the human sense of the surrounding people, objects or circles and spaces, which makes everything in his life a different meaning and material or emotional value or both, it was necessary to study the meaning and concept of sense and interpretation of the mechanism of access to the conversion of tangible things in the ocean to perceptions of the same Mental and digital values, as well as in an attempt to interpret perceptions of mental, scientific and digital values through analytical, applied field-based analytical media to reach the senses and feelings of the building. This led the research to the need to know the difference between the sense and perception on the one hand, and research in the mechanism of the analysis of the intermediate of the inter-transfer between the two directions between the sensation and perception. Because architecture is one of the most important spaces that occupy the mind and passion of the users materially and emotionally, the study and analysis of the emotional sensation of users in the process of design and interpretation of the sense to reach the mental perception and the importance of design in accordance with the process of mental perception to reach a positive emotional feeling to the satisfaction of users.
The goal of the current research is to Evaluation the book of engineering for the basic ninth grade according to the criteria of math curriculum for education before university in Syria Arab Republic from the view of teachers, Then giving some propositions which may attribute at avoiding some mistakes that styles of curriculums may do.
هدفت هذه الدراسة إلى معرفة أثر استخدام الطريقة الاستقصائية في تدريس الهندسة لتنمية التفكير المنطقي الرياضي لدى طلبة الصف الأول الثانوي, و لتحقيق هذا الهدف قامت الباحثة ببناء المادة التعليمية بطريقة الاستقصاء, و عرضها على مجموعة من المحكمين, ثم تجريبه ا فردياً قبل التجريب النهائي, و طبق اختبار التفكير المنطقي الرياضي على الطلبة بعد الانتهاء من تدريس المادة التعليمية. بلغت عينة الدراسة (120) طالباً و طالبة من الصف الأول الثانوي في مدينة اللاذقية مقسمة إلى مجموعتين تجريبية و ضابطة تحوي كل منهما (60) طالباً و طالبة. أظهرت نتائج الدراسة الفرق بين متوسطي درجات المجموعتين التجريبية و الضابطة في التطبيق البعدي لاختبار التفكير المنطقي الرياضي, و قد يعزى تفوق طلبة المجموعة التجريبية لاستخدام طريقة الاستقصاء في تدريس الوحدات المقررة, حيث أن التدريس بهذه الطريقة قد أسهم في زيادة مستوى التفكير المنطقي الرياضي لدى الطلبة بشكل أفضل مقارنةً بالطريقة المعتادة.
The wireless communication devices became very important. They have been fastly developed fastly in the last few years, so, it was necessary to propose new types Antenna . A new printed patched Antenna design as, printed, a lenses and wire Antenna, are objected to improve the performance, gain and beam width of Antenna. This work propos a design and simuling of patch fractal Antenna, using Zeland. This type which depends on fractal geometry (sierpinski carpet) has a very good radiation pattern and has wide applications. The proposed Antenna parameters were studied by the help of Zeland simulator, The variation of the antenna parameters happens when the fractal parameters (as stage of growth) changes, were analysed. Finally, the proposed Antenna was praticly applied and measured at the frequency 10Ghz allowed by the microwave and Antenna laboratory.
The thesis proposes a unified vision of business process lifecycle that implement different activities on the business process from defining or discovering to implementing and monitoring. In discovery phase within the unified vision it presents a mec hanisem based on methodologies that fit the reality of the Syrian institutions. The thesis depends on a process modeling approach which scales in different levels of details and clarifies the repeated parts allowing to isolate them and define patterns from them. This patterns are used in the optimization phase whether for improving or reengineering. The unified vision can be applied to automate non-automated institutions, it has been applied to the Directorate of Syrian Custom and its departments. In each department the business processes follow a specific flow that is considered as a pattern which can be applied to the rest of business processes, subprocesses can be isolated and reused repeatedly whenever they’re needed.
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